Tootfinder

Trump to Halt Development of Another Offshore Wind Farm | Financial Post
https://financialpost.com/pmn/business-pmn/trump-plans-to-block-development-of-another-offshore-wind-farm

AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
Tomas Herda, Victoria Pichler, Zheying Zhang, Pekka Abrahamsson, Geir K. Hanssen
https://arxiv.org/abs/2506.20159

AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
The full-day workshop on AI and Agile at XP 2025 convened a diverse group of researchers and industry practitioners to address the practical challenges and opportunities of integrating Artificial Intelligence into Agile software development. Through interactive sessions, participants identified shared frustrations related to integrating AI into Agile Software Development practices, including challenges with tooling, governance, data quality, and critical skill gaps. These challenges were system…

California has already reported more measles cases this year than in all of 2024,
a worrisome development that comes as the nation is suffering its largest outbreak of the super-infectious disease in decades.
The extent of the national outbreak has rocketed measles from a back-of-mind issue
— one rarely, if ever, encountered by a whole generation of Americans
— to a pressing public health concern.
“Measles is completely preventable,”
Dr. Elizabeth Hudso…

Measles cases are on the rise in California
California has already reported more measles cases this year than in all of 2024, a worrisome development that comes as the nation is suffering its largest outbreak of the super-infectious disease in decades.

MCEDA buys The Tuskegee News to prevent the Alabama city from becoming a news desert, in what seems to be a first for a US economic development agency (Sarah Clifton/Montgomery Advertiser)
https://www.

160-year-old Tuskegee newspaper to remain in business after purchase by Macon County
"It's about preserving the voice of a community and protecting our momentum and economic development."

SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides
Liuqing Chen, Yaxuan Song, Ke Lyu, Shuhong Xiao, Yilang Shen, Lingyun Sun
https://arxiv.org/abs/2508.17058

SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides
Car-riding is common for children in modern life. Given the repetitive nature of daily commutes, they often feel bored and turn to electronic devices for entertainment. Meanwhile, the rich and dynamic scenery outside the car naturally attracts children's curiosity and offers valuable resources for cognitive development. Our formative study reveals that parents' support during car rides is often fleeting, as accompanying adults may struggle to consistently guide children's exploration. To addres…

New and updated long-periodic terms in harmonic development of the Earth tide-generating potential
Sergey M. Kudryavtsev, Rodolfo G. Cionco
https://arxiv.org/abs/2508.18111 http…

New and updated long-periodic terms in harmonic development of the Earth tide-generating potential
We present a new harmonic development of the long-periodic band of the Earth tide-generating potential (TGP). It updates the corresponding part of the previous TGP expansion, KSM03 (Kudryavtsev, J. Geodesy, 77:829, 2004), and includes 38 terms of period longer than $\simeq$18 years (yr) and amplitude not less than $10^{-8}~{\rm m}^2\,{\rm s}^{-2}$. The development is made through a modified spectral analysis of the TGP numerical values tabulated over more than 30,000 yr (13,200~BC--17,191~AD). …

Yet another bad decision from the Planning Inspectorate.
Huge development to go ahead after £5m demand thrown out - Manchester Evening News
https://www.manchestereveningnews.co.uk/news/greater-manchester-news/huge-development…

Huge development to go ahead after £5m demand thrown out
Council officers rejected the plans three years ago

Ah fuck, people are using LLMs for kernel code. They really are going to fuck over everything, aren't they?
https://lwn.net/SubscriberLink/1026558/9f3079fb392c4a9a/

The Hidden Forces Shaping Our Systems: #CognitiveBiases in #SoftwareDevelopment
…

On the one hand, good.
On the other hand, still good.
https://github.com/creativecommons/cc-signals

Hey @…, how’s this for a CC signal for AI, you clowns?
🖕
https://creativecommons.org/2025/06/25

Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons
CC Signals © 2025 by Creative Commons is licensed under CC BY 4.0 Creative Commons (CC) today announces the public kickoff of the CC signals project, a new preference signals framework designed to increase reciprocity and sustain a creative commons in the age of AI. The development of CC signals represents a major step forward…

Bumble plans to cut 30% of its workforce, or about 240 roles, and invest the ~$40M saved annually into new product and tech development; BMBL rises 20% (Samantha Subin/CNBC)
https://www.cnbc.com/2025/06/25/bumble-layoffs.html

Bumble jumps 26% as dating company plans to axe 30% of workforce
Founder Whitney Wolfe Herd, who stepped down as CEO at the beginning of 2024, returned to the role earlier this year.

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
Yuheng Chen, Alexander Montes McNeil, Taehyuk Park, Blake A. Wilson, Vaishnavi Iyer, Michael Bezick, Jae-Ik Choi, Rohan Ojha, Pravin Mahendran, Daksh Kumar Singh, Geetika Chitturi, Peigang Chen, Trang Do, Alexander V. Kildishev, Vladimir M. Shalaev, Michael Moebius, Wenshan Cai, Yongmin Liu, Alexandra Boltasseva

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imaging, sensing, and quantum information processing. PDD is an iterative, five-step process that consists of: i) deriving device behavior from design parameters, ii) simulating device performance, iii) finding the optimal candidate designs from simulations, iv) fabricating the optima…

I guess I should add that Firebase’s security model is still broken in the sense of being dangerously easy to mess up (despite its maintainers’ heroic efforts), that this is a problem that’s fundamentally baked into it the product’s whole value proposition of eliminating huge swaths of server-side development and is thus not readily solvable, and that these ongoing Firebase breaches are a classic case study in how far and how stubbornly the effects of abstraction choices can reach.

It's been bothering me for a while, so I created a Racket extension to refer to variables by position: eg,
(define hypotenuse
(lambda 2
(sqrt ( (square $0)
(square $1)))))
Why not. What fun. No more variable name choice paralysis! 🤣
https://github.com/shriram/lambda-n

GitHub - shriram/lambda-n: the lambda-n language
the lambda-n language. Contribute to shriram/lambda-n development by creating an account on GitHub.

Principles Of Web Accessibility
A set of high-level guiding principles for approaching web accessibility. How to approach accessible web interface design.
– by @…
🌐 https://

GitHub - Heydon/principles-of-web-accessibility: How to approach accessible web interface design
How to approach accessible web interface design. Contribute to Heydon/principles-of-web-accessibility development by creating an account on GitHub.

from my link log —
Developing a transputer ISA board.
https://nanochess.org/transputer_board.html
saved 2025-07-06 https://

Developing my transputer ISA board
The development of my ISA board for transputer boards.

How Jets coaches are reading Justin Fields' mind, while Fields is winning over teammates' hearts https://www.nytimes.com/athletic/6435782/2025/06/24/justin-fields-new-york-jets-development-passer/

Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
Anton Ludwig Bonin, Pawel Robert Smolinski, Jacek Winiarski
https://arxiv.org/abs/2508.16811

Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
This study investigates the impact of Generative AI on software development within the IT sector through a mixed-method approach, utilizing a survey developed based on expert interviews. The preliminary results of an ongoing survey offer early insights into how Generative AI reshapes personal productivity, organizational efficiency, adoption, business strategy and job insecurity. The findings reveal that 97% of IT workers use Generative AI tools, mainly ChatGPT. Participants report significant …

Discover the power of property-based testing in R with the #quickcheck package! Seamlessly integrates with #testthat and offers a variety of generators for atomic vectors, lists, and tibbles. Perfect for ensuring your code's reliability. Check it out:

GitHub - armcn/quickcheck: Property Based Testing in R
Property Based Testing in R. Contribute to armcn/quickcheck development by creating an account on GitHub.

GenAI for Automotive Software Development: From Requirements to Wheels
Nenad Petrovic, Fengjunjie Pan, Vahid Zolfaghari, Krzysztof Lebioda, Andre Schamschurko, Alois Knoll
https://arxiv.org/abs/2507.18223

GenAI for Automotive Software Development: From Requirements to Wheels
This paper introduces a GenAI-empowered approach to automated development of automotive software, with emphasis on autonomous and Advanced Driver Assistance Systems (ADAS) capabilities. The process starts with requirements as input, while the main generated outputs are test scenario code for simulation environment, together with implementation of desired ADAS capabilities targeting hardware platform of the vehicle connected to testbench. Moreover, we introduce additional steps for requirements …

This "pattern" here appears to be unused:
https://github.com/u-boot/u-boot/blob/021783860f7e628f7c4e0c101707cd4250e6d61f/drivers/ram/rockchip/sdram_rv1126.c#L1656
Well, it is used in the RK3566…

u-boot/drivers/ram/rockchip/sdram_rv1126.c at 021783860f7e628f7c4e0c101707cd4250e6d61f · u-boot/u-boot
"Das U-Boot" Source Tree. Contribute to u-boot/u-boot development by creating an account on GitHub.

1995: M-Theory
1997: Matrix string theory
1999: The Matrix (development began 1994)
#stringtheory #mtheory #thematrix

Giant Archaeological Puzzle Reveals Artworks Not Seen for 1,800 Years https://www.goodnewsnetwork.org/giant-archaeological-puzzle-reveals-artworks-not-seen-for-1800-years/

Giant Archaeological Puzzle Reveals Artworks Not Seen for 1,800 Years
The discovery was made at a London development site which had already yielded stunning mosaics and a rare Roman mausoleum.

"Development of an Integrated Lifecycle of #RDM #Tools: Looking Back and Forward at KU Leuven"
https://ijdc.net/index.…

Pragmatic Policy Development via Interpretable Behavior Cloning
Anton Matsson, Yaochen Rao, Heather J. Litman, Fredrik D. Johansson
https://arxiv.org/abs/2507.17056

Pragmatic Policy Development via Interpretable Behavior Cloning
Offline reinforcement learning (RL) holds great promise for deriving optimal policies from observational data, but challenges related to interpretability and evaluation limit its practical use in safety-critical domains. Interpretability is hindered by the black-box nature of unconstrained RL policies, while evaluation -- typically performed off-policy -- is sensitive to large deviations from the data-collecting behavior policy, especially when using methods based on importance sampling. To add…

Holy fuck this guitar is my goddamn spirit animal
#guitar #gearsquad #PRS

“We spent more than four years in research and development, working closely with Herman to get everything exactly right”: PRS activates total shred mode for the launch of Herman Li’s feature-packed Chleo signature electric
Available in Orchid Dusk and Charcoal Purple Burst, limited to 200 units, we've got 13 unique tone combinations from its HSH Fishman pickups, a Gotoh floating vibrato and Eclipse Dragon inlays too

#jellyfin for #roku development setup is now put back together and operational!!!! 🥳
Now, let's get these PRs sorted out and the next release out, shall we?

Towards Open World Detection: A Survey
Andrei-Stefan Bulzan, Cosmin Cernazanu-Glavan
https://arxiv.org/abs/2508.16527 https://arxiv.org/pdf/2508.16527

Towards Open World Detection: A Survey
For decades, Computer Vision has aimed at enabling machines to perceive the external world. Initial limitations led to the development of highly specialized niches. As success in each task accrued and research progressed, increasingly complex perception tasks emerged. This survey charts the convergence of these tasks and, in doing so, introduces Open World Detection (OWD), an umbrella term we propose to unify class-agnostic and generally applicable detection models in the vision domain. We star…

Astrotourism for Development: An Overview of Resources from the IAU Office of Astronomy for Development
Joyful E. Mdhluli, IAU Office of Astronomy for Development
https://arxiv.org/abs/2507.15827

Astrotourism for Development: An Overview of Resources from the IAU Office of Astronomy for Development
Astrotourism has emerged as a powerful cross sectoral tool to promote science education, sustainable economic development, and cultural exchange. Recognising its potential, the International Astronomical Union's Office of Astronomy for Development (IAU OAD) has developed a suite of openly accessible resources to support individuals and institutions interested in implementing astrotourism initiatives globally. These resources also encourage individuals and existing businesses to broaden their of…

Pretty crowded house today at our #phpugmrn meetup. We start the meetup with a talk by Max Pesch about Sylius development at brille24.

Development of a Standardized Testing Environment for QRNGs based on Semiconductor Laser Phase Noise
Matthias Ostner, Innocenzo De Marco, Christian Roubal
https://arxiv.org/abs/2507.17471

Development of a Standardized Testing Environment for QRNGs based on Semiconductor Laser Phase Noise
Quantum random number generators (QRNGs) based on semiconductor laser phase noise are an inexpensive and efficient resource for true random numbers. Commercially available technology allows for designing QRNG setups tailored to specific use cases. However, it is important to constantly monitor whether the QRNG is performing according to the desired security standards in terms of independence and uniform distribution of the generated numbers. This is especially important in cryptographic applica…

"Green hydrogen development threatens wildlife in Chile"
#Chile #GreenHydrogen #Energy

Green hydrogen development threatens wildlife in Chile
Green hydrogen promoters tout it as the clean energy of the future. In 2020, Chile launched its National Green Hydrogen Strategy, looking to position the country as a leader in producing and exporting hydrogen by 2030 while reaching carbon neutrality. “Today we are taking a new step forward in producing clean energy, protecting nature and […]

AlphaGo Moment for Model Architecture Discovery
Yixiu Liu, Yang Nan, Weixian Xu, Xiangkun Hu, Lyumanshan Ye, Zhen Qin, Pengfei Liu
https://arxiv.org/abs/2507.18074 https://

AlphaGo Moment for Model Architecture Discovery
While AI systems demonstrate exponentially improving capabilities, the pace of AI research itself remains linearly bounded by human cognitive capacity, creating an increasingly severe development bottleneck. We present ASI-Arch, the first demonstration of Artificial Superintelligence for AI research (ASI4AI) in the critical domain of neural architecture discovery--a fully autonomous system that shatters this fundamental constraint by enabling AI to conduct its own architectural innovation. Movi…

Development of an Open-Source Spacecraft Bus for the PULSE-A CubeSat
Graydon Schulze-Kalt, Robert Pitu, Spencer Shelton, Catherine Todd, Zane Ebel, Ian Goldberg, Leon Gold, Henry Czarnecki, Mason McCormack, Larry Li, Zumi Riekse, Brian Yu, Akash Piya, Vidya Suri, Dylan Hu, Colleen Kim, John Baird, Seth Knights, Logan Hanssler, Michael Lembeck, Tian Zhong

Development of an Open-Source Spacecraft Bus for the PULSE-A CubeSat
The undergraduate-led Polarization-modUlated Laser Satellite Experiment (PULSE-A) at the University of Chicago seeks to demonstrate the feasibility of circular polarization shift keyed satellite-to-ground laser communication. PULSE-A's low-cost open-source bus serves as the backbone of the mission and has been designed in tandem with the Payload, with design driven by strict requirements for pointing accuracy, component alignment, power demand, and thermal stability. This work presents the desi…

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
Luana Bulla, Gabriele Tuccio, Misael Mongiov\`i, Aldo Gangemi
https://arxiv.org/abs/2508.18183

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
Translating natural languages into sign languages is a highly complex and underexplored task. Despite growing interest in accessibility and inclusivity, the development of robust translation systems remains hindered by the limited availability of parallel corpora which align natural language with sign language data. Existing methods often struggle to generalize in these data-scarce environments, as the few datasets available are typically domain-specific, lack standardization, or fail to captur…

SpinAdaptedSecondQuantization.jl 1.0 -- A Simple and Pedagogical Approach to Symbolic Quantum Chemistry
Marcus T. Lexander, Tor S. Haugland, Federico Rossi, Henrik Koch
https://arxiv.org/abs/2508.16342

SpinAdaptedSecondQuantization.jl 1.0 -- A Simple and Pedagogical Approach to Symbolic Quantum Chemistry
The development of new electronic structure methods is a very time consuming and error prone process when done by hand. SpinAdaptedSecondQuantization.jl is an open-source Julia package we have developed for working with automated electronic structure theory development. The code focuses on being user-friendly and extensible, allowing for easy use of both user- and pre-defined fermionic and/or bosonic operators, tensors, and orbital spaces. This allows the code to be used to efficiently investig…

Micromanager

🏅 From the Abes to the Ohtanis: How siblings shape athletic development
https://www.japantimes.co.jp/sports/2025/07/08/more-sports/japan-sibling-sports-development/
🆓

From the Abes to the Ohtanis: How siblings shape athletic development
Sibling dynamics — whether it’s rivalry, support, or a mix of both — can have a profound impact on an athlete’s development and success.

PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
Jacob Mahon, Chenxi Hou, Zhihao Yao
https://arxiv.org/abs/2507.18075 https://

PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
Python software development heavily relies on third-party packages. Direct and transitive dependencies create a labyrinth of software supply chains. While it is convenient to reuse code, vulnerabilities within these dependency chains can propagate through dependencies, potentially affecting down-stream packages and applications. PyPI, the official Python package repository, hosts many packages and lacks a comprehensive analysis of the prevalence of vulnerable dependencies. This paper introduces…

On the Duality of Task and Actor Programming Models
Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
https://arxiv.org/abs/2508.16522

On the Duality of Task and Actor Programming Models
Programming models for distributed and heterogeneous machines are rapidly growing in popularity to meet the demands of modern workloads. Task and actor models are common choices that offer different trade-offs between development productivity and achieved performance. Task-based models offer better productivity and composition of software, whereas actor-based models routinely deliver better peak performance due to lower overheads. While task-based and actor-based models appear to be different s…

discovered a new Mac emulator https://github.com/twvd/snow

I know folks have been struggling to understand AI in the modern development stack, so I created an easy-to-follow diagram. Hope this helps someone 🤗

London-based Attio, which offers a CRM service where AI agents and humans work together, raised a $52M Series B led by GV, bringing its total funding to $116M (Lucy Adams/Tech.eu)
https://tech.eu/2025/08/26/attio-raises-52m-series-b-to-scale-crm-platform/…

Attio raises $52M Series B to scale CRM platform
London-based CRM startup Attio has raised $52 million in Series B funding to expand its CRM platform. The round was led by GV (Google Ventures), with participation from existing investors Redpoint Ventures, 01A, Point Nine, and Balderton Capital, bringing Attio’s total funding to $116 million.With the new funding, Attio plans to scale its engineering team, accelerate product development, and double down on go-to-market outreach. Investment will focus particularly on features that enhance agen…

Mechanisms to Verify International Agreements About AI Development
Aaron Scher, Lisa Thiergart
https://arxiv.org/abs/2506.15867 https://

Mechanisms to Verify International Agreements About AI Development
International agreements about AI development may be required to reduce catastrophic risks from advanced AI systems. However, agreements about such a high-stakes technology must be backed by verification mechanisms--processes or tools that give one party greater confidence that another is following the agreed-upon rules, typically by detecting violations. This report gives an overview of potential verification approaches for three example policy goals, aiming to demonstrate how countries could …

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
James Fant-Male, Roel Pieters
https://arxiv.org/abs/2506.20447

A Review of Personalisation in Human-Robot Collaboration and Future Perspectives Towards Industry 5.0
The shift in research focus from Industry 4.0 to Industry 5.0 (I5.0) promises a human-centric workplace, with social and well-being values at the centre of technological implementation. Human-Robot Collaboration (HRC) is a core aspect of I5.0 development, with an increase in adaptive and personalised interactions and behaviours. This review investigates recent advancements towards personalised HRC, where user-centric adaption is key. There is a growing trend for adaptable HRC research, however …

Today at the @… conference, we’re presenting Draugnet, an open-source, lightweight submission tool designed to make sharing cyber threat intelligence easier.
With @… @…

GitHub - draugnet/draugnet
Contribute to draugnet/draugnet development by creating an account on GitHub.

Euphonica is a Rust-Powered MPD Client Heavy on Bling
MPD (Music Player Daemon) is a server-client audio player long popular with Linux users. The headless daemon runs as a background service, typically on a remote audio server. Music is then accessed via a GUI client frontend, which connects to the MPD server to stream content.
🎶

Euphonica is a Rust-Powered MPD Client Heavy on Bling
Euphonica is a new Rust-based MPD frontend for Linux desktops, with 'bling' as a key feature. I showcase its design, features, and current development status.

Can you describe specific ways you have integrated Al tools into your development workflow? Please include any custom setups, automations, or use cases beyond simple prompt usage.
there is a monster in the forest and it speaks with a thousand voices. it will answer any question you pose it, it will offer insight to any idea. it will help you, it will thank you, it will never bid you leave. it will even tell you of the darkest arts, if you know precisely how to ask.…

So in summary, we don't know how much of the nuclear program and material in Iran has survived, it's certainly not completely gone, also we know for sure Iran will accelerate it's nuclear weapon development in the coming years as the only real security guarantee against Israel.
#iran #israel

This apartment development has been adding things like a barbecue area and playground over the past few months. I can hardly imagine what the rents are like after that.

Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
Connor Scully-Allison, Kevin Menear, Kristin Potter, Andrew McNutt, Katherine E. Isaacs, Dmitry Duplyakin
https://arxiv.org/abs/2507.17898

Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
Domain-specific visualizations sometimes focus on narrow, albeit important, tasks for one group of users. This focus limits the utility of a visualization to other groups working with the same data. While tasks elicited from other groups can present a design pitfall if not disambiguated, they also present a design opportunity -- development of visualizations that support multiple groups. This development choice presents a trade off of broadening the scope but limiting support for the more narro…

Huh....
((0x1000 * (n) (((n) > 0) ? 0x1000 : 0)))
I mean, that's just (n 1) * 0x1000 ?!
https://github.com/u-boot/u-boot/blob/5f732b4bb0946b4d1a32add4ec5595eb9846cd26/arch/arm/includ…

u-boot/arch/arm/include/asm/arch-rockchip/sdram_pctl_px30.h at 5f732b4bb0946b4d1a32add4ec5595eb9846cd26 · u-boot/u-boot
"Das U-Boot" Source Tree. Contribute to u-boot/u-boot development by creating an account on GitHub.

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
Vikranth Udandarao, Nipun Misra
https://arxiv.org/abs/2508.16684

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
India's developer community faces significant barriers to sustained experimentation and learning with commercial Large Language Model (LLM) APIs, primarily due to economic and infrastructural constraints. This study empirically evaluates local LLM deployment using Ollama as an alternative to commercial cloud-based services for developer-focused applications. Through a mixed-methods analysis involving 180 Indian developers, students, and AI enthusiasts, we find that local deployment enables subs…

Ukraine announced on June 13 that its short-range Sapsan ballistic missile would go into mass production
-- a major development in Kyiv's ongoing efforts to domestically produce the weapons it needs to fight Russia's full-scale invasion.
As Ukraine faces growing challenges in securing weapons from Western partners, and Russia continues launching drone and missile strikes on civilians, the development of Ukraine’s missile production is seen as a critical step toward strength…

Tired of military aid delays, Ukraine has designed its own ballistic missile — and it’s already in mass-production
Ukraine announced on June 13 that it's short-range Sapsan ballistic missile would go into mass production, a major development in Kyiv's ongoing efforts to domestically produce the weapons it needs to fight Russia's full-scale invasion. As Ukraine faces growing challenges in securing weapons from Western partners, and Russia continues launching drone and missile strikes on civilians, the development of Ukraine’s missile production is seen as a critical step toward strengthening its defense c…

Commanders training camp: With Terry McLaurin holding out, other pass catchers hope to step up

https://www.cbssports.com/nfl/news/command…

Two-flow Feedback Multi-scale Progressive Generative Adversarial Network
Sun Weikai, Song Shijie, Chi Wenjie
https://arxiv.org/abs/2508.16089 https://arxiv…

Two-flow Feedback Multi-scale Progressive Generative Adversarial Network
Although diffusion model has made good progress in the field of image generation, GAN\cite{huang2023adaptive} still has a large development space due to its unique advantages, such as WGAN\cite{liu2021comparing}, SSGAN\cite{guibas2021adaptive} \cite{zhang2022vsa} \cite{zhou2024adapt} and so on. In this paper, we propose a novel two-flow feedback multi-scale progressive generative adversarial network (MSPG-SEN) for GAN models. This paper has four contributions: 1) : We propose a two-flow feedbac…

TOC-UCO: a comprehensive repository of tabular ordinal classification datasets
Rafael Ayll\'on-Gavil\'an, David Guijo-Rubio, Antonio Manuel G\'omez-Orellana, David Guijo-Rubio, Francisco B\'erchez-Moreno, V\'ictor Manuel Vargas-Yun, Pedro A. Guti\'errez
https://arxiv.org/abs/2507.17348

TOC-UCO: a comprehensive repository of tabular ordinal classification datasets
An ordinal classification (OC) problem corresponds to a special type of classification characterised by the presence of a natural order relationship among the classes. This type of problem can be found in a number of real-world applications, motivating the design and development of many ordinal methodologies over the last years. However, it is important to highlight that the development of the OC field suffers from one main disadvantage: the lack of a comprehensive set of datasets on which nove…

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics
Mohammad Atif, Kriti Chopra, Ozgur Kilic, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin, Paolo Calafiura, Salman Habib
https://arxiv.org/abs/2508.16713

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics
Next-generation High Energy Physics (HEP) experiments will generate unprecedented data volumes, necessitating High Performance Computing (HPC) integration alongside traditional high-throughput computing. However, HPC adoption in HEP is hindered by the challenge of porting legacy software to heterogeneous architectures and the sparse documentation of these complex scientific codebases. We present CelloAI, a locally hosted coding assistant that leverages Large Language Models (LLMs) with retrieva…

RoMedQA: The First Benchmark for Romanian Medical Question Answering
Ana-Cristina Rogoz, Radu Tudor Ionescu, Alexandra-Valentina Anghel, Ionut-Lucian Antone-Iordache, Simona Coniac, Andreea Iuliana Ionescu
https://arxiv.org/abs/2508.16390

RoMedQA: The First Benchmark for Romanian Medical Question Answering
Question answering (QA) is an actively studied topic, being a core natural language processing (NLP) task that needs to be addressed before achieving Artificial General Intelligence (AGI). However, the lack of QA datasets in specific domains and languages hinders the development of robust AI models able to generalize across various domains and languages. To this end, we introduce RoMedQA, the first Romanian QA benchmark for the medical domain, alongside a comprehensive evaluation of state-of-th…

Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
Yu Yan, Sheng Sun, Zhe Wang, Yijun Lin, Zenghao Duan, zhifei zheng, Min Liu, Zhiyi yin, Jianping Zhang
https://arxiv.org/abs/2508.16347

Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
With the development of Large Language Models (LLMs), numerous efforts have revealed their vulnerabilities to jailbreak attacks. Although these studies have driven the progress in LLMs' safety alignment, it remains unclear whether LLMs have internalized authentic knowledge to deal with real-world crimes, or are merely forced to simulate toxic language patterns. This ambiguity raises concerns that jailbreak success is often attributable to a hallucination loop between jailbroken LLM and judger L…

One week ago I said there should be a TUI for Home Assistant because it would look dope as fuck and make SSH access pleasant. There is one now, and here's the first release of it: https://github.com/theodric/hatui

Generative Artificial Intelligence and Agents in Research and Teaching
Jussi S. Jauhiainen, Aurora Toppari
https://arxiv.org/abs/2508.16701 https://arxiv.o…

Generative Artificial Intelligence and Agents in Research and Teaching
This study provides a comprehensive analysis of the development, functioning, and application of generative artificial intelligence (GenAI) and large language models (LLMs), with an emphasis on their implications for research and education. It traces the conceptual evolution from artificial intelligence (AI) through machine learning (ML) and deep learning (DL) to transformer architectures, which constitute the foundation of contemporary generative systems. Technical aspects, including prompting…

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
Xiang Echo Chen, Wenhan Zhu, Guoshuai Albert Shi, Michael W. Godfrey
https://arxiv.org/abs/2507.18029

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
The growing capabilities of generative AI (GenAI) have begun to reshape how games are designed and developed, offering new tools for content creation, gameplay simulation, and design ideation. While prior research has explored traditional uses of AI in games, such as controlling agents or generating procedural content. There is limited empirical understanding of how GenAI is adopted by developers in real-world contexts, especially within the open-source community. This study aims to explore how…

High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
Jincheng Li, Danyang Dong, Menglin Zheng, Jingbo Zhang, Yueqin Hang, Lichi Zhang, Lili Zhao
https://arxiv.org/abs/2508.16140

High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection
Automatic detection of abnormal cervical cells from Thinprep Cytologic Test (TCT) images is a critical component in the development of intelligent computer-aided diagnostic systems. However, existing algorithms typically fail to effectively model the correlations of visual features, while these spatial correlation features actually contain critical diagnostic information. Furthermore, no detection algorithm has the ability to integrate inter-correlation features of cells with intra-discriminati…

The Environmental Protection Agency (EPA) said on Friday it is
eliminating its research and development arm
and reducing agency staff by thousands of employees.
One union leader said the moves “will devastate public health in our country”.
https://www.

Commanders, D.C. City Council near agreement on stadium development at RFK site: Sources https://www.nytimes.com/athletic/6511855/2025/07/23/washington-commanders-stadium-development-rfk-site/

TinyML Towards Industry 4.0: Resource-Efficient Process Monitoring of a Milling Machine
Tim Langer, Matthias Widra, Volkhard Beyer
https://arxiv.org/abs/2508.16553 https://

TinyML Towards Industry 4.0: Resource-Efficient Process Monitoring of a Milling Machine
In the context of industry 4.0, long-serving industrial machines can be retrofitted with process monitoring capabilities for future use in a smart factory. One possible approach is the deployment of wireless monitoring systems, which can benefit substantially from the TinyML paradigm. This work presents a complete TinyML flow from dataset generation, to machine learning model development, up to implementation and evaluation of a full preprocessing and classification pipeline on a microcontrolle…

AI infrastructure provider Crusoe acquires Israeli startup Atero, whose tech optimizes GPUs for AI workloads, in a cash and stock deal estimated at ~$150M (Meir Orbach/CTech)
https://www.calcalistech.com/ctechnews/article/rkdw11antlx

Rising AI unicorn Crusoe buys one-year-old Israeli startup Atero in $150M deal
The US AI infrastructure company is acquiring the GPU management firm in a cash-and-stock deal. 25 Atero employees will become the company’s development center in Israel. 

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
Giorgos Iacovides, Wuyang Zhou, Danilo Mandic
https://arxiv.org/abs/2507.18417

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
Opinions expressed in online finance-related textual data are having an increasingly profound impact on trading decisions and market movements. This trend highlights the vital role of sentiment analysis as a tool for quantifying the nature and strength of such opinions. With the rapid development of Generative AI (GenAI), supervised fine-tuned (SFT) large language models (LLMs) have become the de facto standard for financial sentiment analysis. However, the SFT paradigm can lead to memorization…

Conformidade com os Requisitos Legais de Privacidade de Dados: Um Estudo sobre T\'ecnicas de Anonimiza\c{c}\~ao
Andr\'e Menolli, Luiz Fernando Nunes, Thiago A. Coleti
https://arxiv.org/abs/2507.18360

Conformidade com os Requisitos Legais de Privacidade de Dados: Um Estudo sobre Técnicas de Anonimização
The protection of personal data has become a central topic in software development, especially with the implementation of the General Data Protection Law (LGPD) in Brazil and the General Data Protection Regulation (GDPR) in the European Union. With the enforcement of these laws, certain software quality criteria have become mandatory, such as data anonymization, which is one of the main aspects addressed by these regulations. The aim of this article is to analyze data anonymization techniques a…

DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
https://arxiv.org/abs/2508.17719 https://…

DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
Software Documentation plays a major role in the usage and development of a project. Widespread adoption of open source software projects contributes to larger and faster development of the projects, making it difficult to maintain the associated documentation. Existing automated approaches to generate documentation largely focus on source code. However, information useful for documentation is observed to be scattered across various artifacts that co-evolve with the source code. Leveraging this…

MeloKids: Multisensory VR System to Enhance Speech and Motor Coordination in Children with Hearing Loss
Yichen Yu, Qiaoran Wang
https://arxiv.org/abs/2507.18619 https://

MeloKids: Multisensory VR System to Enhance Speech and Motor Coordination in Children with Hearing Loss
Children with hearing impairments face ongoing challenges in language and motor development. This study explores how multi-sensory feedback technology based on virtual reality (VR), integrating auditory, visual, and tactile stimuli, can enhance rehabilitation outcomes. Using functional near-infrared spectroscopy (fNIRS) technology, we assessed cortical activation patterns in children during pitch-matching tasks across different interaction modes. Our findings aim to provide evidence for designi…

Ethics of Artificial Intelligence
Vincent C. M\"uller
https://arxiv.org/abs/2508.16658 https://arxiv.org/pdf/2508.16658…

Ethics of Artificial Intelligence
Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made and used by humans; her…

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
Le Deng, Zhonghao Jiang, Jialun Cao, Michael Pradel, Zhongxin Liu
https://arxiv.org/abs/2507.18130

NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
Natural language-driven no-code development allows users to specify software functionality using natural language (NL) instead of editing source code, promising increased productivity and democratized development. Large language models (LLMs) show potential in enabling this paradigm. In this context, software documentation acts as an NL specification for functionality. This work introduces NoCode-bench, a benchmark designed to evaluate LLMs on real-world NL-driven feature addition tasks, consis…

Disentangled representations of microscopy images
Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti, Francesca Odone
https://arxiv.org/abs/2506.20649 ht…

Disentangled representations of microscopy images
Microscopy image analysis is fundamental for different applications, from diagnosis to synthetic engineering and environmental monitoring. Modern acquisition systems have granted the possibility to acquire an escalating amount of images, requiring a consequent development of a large collection of deep learning-based automatic image analysis methods. Although deep neural networks have demonstrated great performance in this field, interpretability, an essential requirement for microscopy image an…

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Fengze Li, Yue Wang, Yangle Liu, Ming Huang, Dou Hong, Jieming Ma
https://arxiv.org/abs/2506.20167

SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs
Multivariate time series forecasting requires models to simultaneously capture variable-wise structural dependencies and generalize across diverse tasks. While structural encoders are effective in modeling feature interactions, they lack the capacity to support semantic-level reasoning or task adaptation. Conversely, large language models (LLMs) possess strong generalization capabilities but remain incompatible with raw time series inputs. This gap limits the development of unified, transferabl…

An Improved ChaCha Algorithm Based on Quantum Random Number
Chao Liu, Shuai Zhao, Chenhao Jia, Gengran Hu, Tingting Cui
https://arxiv.org/abs/2507.18157 https://

An Improved ChaCha Algorithm Based on Quantum Random Number
Due to the merits of high efficiency and strong security against timing and side-channel attacks, ChaCha has been widely applied in real-time communication and data streaming scenarios. However, with the rapid development of AI-assisted cryptanalysis and quantum computing technologies, there are serious challenges to the secure implementation of ChaCha cipher. To further strengthen the security of ChaCha cipher, we propose an improved variant based on quantum random numbers, i.e., Quantum Rando…

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Sam Gordon James, Miranda Elaine Glynis Armstrong, Aisling Ann O'Kane, Harry Emerson, Zahraa S. Abdallah
https://arxiv.org/abs/2507.17757

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further development of this management technology requires an exploration of its real-world use and the potential of additional data streams. To facilitate this, we contribute the BrisT1D Dataset to the growing number of public T1D management datasets. The dataset was developed from a longitudinal study of 24 young adults in t…

Toward a Global Regime for Compute Governance: Building the Pause Button
Ananthi Al Ramiah, Raymond Koopmanschap, Josh Thorsteinson, Sadruddin Khan, Jim Zhou, Shafira Noh, Joep Meindertsma, Farhan Shafiq
https://arxiv.org/abs/2506.20530

Toward a Global Regime for Compute Governance: Building the Pause Button
As AI capabilities rapidly advance, the risk of catastrophic harm from large-scale training runs is growing. Yet the compute infrastructure that enables such development remains largely unregulated. This paper proposes a concrete framework for a global "Compute Pause Button": a governance system designed to prevent dangerously powerful AI systems from being trained by restricting access to computational resources. We identify three key intervention points -- technical, traceability, and regulat…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- A Walk across Europe: Development of a high-resolution walkability index
Nishit Patel, et al.

modelSolver: A Symbolic Model-Driven Solver for Power Network Simulation and Monitoring
Izudin Dzafic, Rabih A. Jabr
https://arxiv.org/abs/2508.17882 https://

modelSolver: A Symbolic Model-Driven Solver for Power Network Simulation and Monitoring
The development of advanced software tools for power system analysis requires extensive programming expertise. Even when using open-source tools, programming skills are essential to modify built-in models. This can be particularly challenging for domain experts who lack coding proficiency. This paper introduces modelSolver, a software solution with a new framework centered around symbolic mathematical modeling. The proposed paradigm facilitates defining models through intuitive mathematical exp…

Mind the Gap: A Decade-Scale Empirical Study of Multi-Stakeholder Dynamics in VR Ecosystem
Yijun Lu, Hironori Washizaki, Naoyasu Ubayashi, Nobukazu Yoshioka, Chenhao Wu, Masanari Kondo, Yuyin Ma, Jiong Dong, Jianjin Zhao, Dongqi Han
https://arxiv.org/abs/2508.16903

Mind the Gap: A Decade-Scale Empirical Study of Multi-Stakeholder Dynamics in VR Ecosystem
In the development and evolution of VR ecosystem, platform stakeholders continuously adapt their products in response to user and technical feedback, often reflected in subtle shifts in discussion topics or system updates. A comprehensive understanding of these changes is essential for identifying gaps between user expectations and developer actions, which can guide more effective quality assurance and user-centered innovation. While previous studies have analyzed either user reviews or develop…

When Domains Collide: An Activity Theory Exploration of Cross-Disciplinary Collaboration
Zixuan Feng, Thomas Zimmermann, Lorenzo Pisani, Christopher Gooley, Jeremiah Wander, Anita Sarma
https://arxiv.org/abs/2506.20063

When Domains Collide: An Activity Theory Exploration of Cross-Disciplinary Collaboration
Background: Software development teams are increasingly diverse, embedded, and cross-disciplinary. Domain experts (DEs) from different disciplines collaborate with professional software developers (SDEs), bringing complementary expertise in creating and maintaining complex production software. However, contested expectations, divergent problem-solving perspectives, and conflicting priorities lead to friction. Aims: This study aims to investigate the dynamics of emerging collaboration of cross-d…

Using LLMs and Essence to Support Software Practice Adoption
Sonia Nicoletti, Paolo Ciancarini
https://arxiv.org/abs/2508.16445 https://arxiv.org/pdf/2508.…

Using LLMs and Essence to Support Software Practice Adoption
Recent advancements in natural language processing (NLP) have enabled the development of automated tools that support various domains, including software engineering. However, while NLP and artificial intelligence (AI) research has extensively focused on tasks such as code generation, less attention has been given to automating support for the adoption of best practices, the evolution of ways of working, and the monitoring of process health. This study addresses this gap by exploring the integr…

Automated Code Review Using Large Language Models with Symbolic Reasoning
Busra Icoz, Goksel Biricik
https://arxiv.org/abs/2507.18476 https://arxiv.org/pdf…

Automated Code Review Using Large Language Models with Symbolic Reasoning
Code review is one of the key processes in the software development lifecycle and is essential to maintain code quality. However, manual code review is subjective and time consuming. Given its rule-based nature, code review is well suited for automation. In recent years, significant efforts have been made to automate this process with the help of artificial intelligence. Recent developments in Large Language Models (LLMs) have also emerged as a promising tool in this area, but these models ofte…

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Shahbaz Siddeeq, Muhammad Waseem, Zeeshan Rasheed, Md Mahade Hasan, Jussi Rasku, Mika Saari, Henri Terho, Kalle Makela, Kai-Kristian Kemell, Pekka Abrahamsson
https://arxiv.org/abs/2506.19481

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Refactoring is a constant activity in software development and maintenance. Scale and maintain software systems are based on code refactoring. However, this process is still labor intensive, as it requires programmers to analyze the codebases in detail to avoid introducing new defects. In this research, we put forward a large language model (LLM)-based multi-agent system to automate the refactoring process on Haskell code. The objective of this research is to evaluate the effect of LLM-based ag…

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
https://arxiv.org/abs/2508.16771

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
Code language models (so-called CodeLLMs) are now commonplace in software development. As a general rule, CodeLLMs are trained by dividing training examples into input tokens and then learn importance of those tokens in a process called machine attention. Machine attention is based solely on input token salience to output token examples during training. Human software developers are different, as humans intuitively know that some tokens are more salient than others. While intuition itself is in…

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees
Shi Chang, Boyuan Chen, Kishanthan Thangarajah, Hanan Lutfiyya, Ahmed E. Hassan
https://arxiv.org/abs/2506.19677

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees
Code Large Language Models (CodeLLMs) are increasingly integrated into modern software development workflows, yet efficiently serving them in resource-constrained, self-hosted environments remains a significant challenge. Existing LLM serving systems employs Continuous Batching for throughput improvement. However, they rely on static batch size configurations that cannot adapt to fluctuating request rates or heterogeneous workloads, leading to frequent SLA (Service Level Agreement) violations a…

LLM-GUARD: Large Language Model-Based Detection and Repair of Bugs and Security Vulnerabilities in C and Python
Akshay Mhatre, Noujoud Nader, Patrick Diehl, Deepti Gupta
https://arxiv.org/abs/2508.16419

LLM-GUARD: Large Language Model-Based Detection and Repair of Bugs and Security Vulnerabilities in C++ and Python
Large Language Models (LLMs) such as ChatGPT-4, Claude 3, and LLaMA 4 are increasingly embedded in software/application development, supporting tasks from code generation to debugging. Yet, their real-world effectiveness in detecting diverse software bugs, particularly complex, security-relevant vulnerabilities, remains underexplored. This study presents a systematic, empirical evaluation of these three leading LLMs using a benchmark of foundational programming errors, classic security flaws, a…

Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
Shadikur Rahman, Umme Ayman Koana, Hasibul Karim Shanto, Mahmuda Akter, Chitra Roy, Aras M. Ismael
https://arxiv.org/abs/2508.16053

Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
This paper illustrates an empirical study of the working efficiency of machine learning techniques in classifying code review text by semantic meaning. The code review comments from the source control repository in GitHub were extracted for development activity from the existing year for three open-source projects. Apart from that, programmers need to be aware of their code and point out their errors. In that case, it is a must to classify the sentiment polarity of the code review comments to a…

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Zhihao Xu, Shikai Guo, Guilin Zhao, Peiyu Zou, Siwen Wang, Qian Ma, Hui Li, Furui Zhan
https://arxiv.org/abs/2508.17713

Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Field Programmable Gate Arrays (FPGAs) play a crucial role in Electronic Design Automation (EDA) applications, which have been widely used in safety-critical environments, including aerospace, chip manufacturing, and medical devices. A critical step in FPGA development is logic synthesis, which enables developers to translate their software designs into hardware net lists, which facilitates the physical implementation of the chip, detailed timing and power analysis, gate-level simulation, test …

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
Renyi Zhong, Yintong Huo, Wenwei Gu, Jinxi Kuang, Zhihan Jiang, Guangba Yu, Yichen Li, David Lo, Michael R. Lyu
https://arxiv.org/abs/2506.20558

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
Comments within code serve as a crucial foundation for software documentation, facilitating developers to communicate and understand the code effectively. However, code-comment inconsistency (CCI) can negatively affect software development, testing, and maintenance. Recent efforts to mitigate this issue have emerged, but existing studies often suffer from inaccurate datasets and inadequate solutions, weakening their practical effectiveness. In this study, we first conduct a quantitative analysi…

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
Wang Lingxiang, Quanzhi Fu, Wenjia Song, Gelei Deng, Yi Liu, Dan Williams, Ying Zhang
https://arxiv.org/abs/2506.17798

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
The integration of open-source third-party library dependencies in Java development introduces significant security risks when these libraries contain known vulnerabilities. Existing Software Composition Analysis (SCA) tools struggle to effectively detect vulnerable API usage from these libraries due to limitations in understanding API usage semantics and computational challenges in analyzing complex codebases, leading to inaccurate vulnerability alerts that burden development teams and delay c…

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- WAFFLE: Finetuning Multi-Modal Model for Automated Front-End Development
Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
Zeqin Liao, Zibin Zheng, Peifan Reng, Henglong Liang, Zixu Gao, Zhixiang Chen, Wei Li, Yuhong Nan
https://arxiv.org/abs/2507.18267

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
Embodied Artificial Intelligence Robots (EAIR) is an emerging and rapidly evolving technological domain. Ensuring their program correctness is fundamental to their successful deployment. However, a general and in-depth understanding of EAIR system bugs remains lacking, which hinders the development of practices and techniques to tackle EAIR system bugs. To bridge this gap, we conducted the first systematic study of 885 EAIR system bugs collected from 80 EAIR system projects to investigate the…

How Software Engineers Engage with AI: A Pragmatic Process Model and Decision Framework Grounded in Industry Observations
Vahid Garousi, Zafar Jafarov
https://arxiv.org/abs/2507.17930

How Software Engineers Engage with AI: A Pragmatic Process Model and Decision Framework Grounded in Industry Observations
Artificial Intelligence (AI) has the potential to transform Software Engineering (SE) by enhancing productivity, efficiency, and decision support. Tools like GitHub Copilot and ChatGPT have given rise to "vibe coding"-an exploratory, prompt-driven development style. Yet, how software engineers engage with these tools in daily tasks, especially in deciding whether to trust, refine, or reject AI-generated outputs, remains underexplored. This paper presents two complementary contributions. First, …

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
Konrad Cinkusz, Jaros{\l}aw A. Chudziak, Ewa Niewiadomska-Szynkiewicz
https://arxiv.org/abs/2508.16678

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
This paper investigates the integration of cognitive agents powered by Large Language Models (LLMs) within the Scaled Agile Framework (SAFe) to reinforce software project management. By deploying virtual agents in simulated software environments, this study explores their potential to fulfill fundamental roles in IT project development, thereby optimizing project outcomes through intelligent automation. Particular emphasis is placed on the adaptability of these agents to Agile methodologies and…

A Scalable Framework for the Management of STPA Requirements: a Case Study on eVTOL Operations
Shufeng Chen, Halima El Badaoui, Mariat James Elizebeth, Takuya Nakashima, Siddartha Khastgir, Paul Jennings
https://arxiv.org/abs/2508.16708

A Scalable Framework for the Management of STPA Requirements: a Case Study on eVTOL Operations
System-Theoretic Process Analysis (STPA) is a recommended method for analysing complex systems, capable of identifying thousands of safety requirements often missed by traditional techniques such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). However, the absence of a structured framework for managing and prioritising these requirements presents challenges, particularly in fast-paced development environments. This paper introduces a scalable framework for prioritisin…

Dataset of Yul Contracts to Support Solidity Compiler Research
Krzysztof Fonal
https://arxiv.org/abs/2506.19153 https://arxiv.org/pdf…

Dataset of Yul Contracts to Support Solidity Compiler Research
The YulCode dataset presents a comprehensive collection of 348,840 Yul-based smart contract instances, comprising approximately 135,013 unique contracts. These contracts were generated through the compilation of Solidity source files that have been deployed on the Ethereum mainnet, making the dataset directly representative of real-world decentralized applications. YulCode provides a rich foundation for a variety of research and development tasks, including but not limited to machine learning a…