Tootfinder

wanna see some python crimes? https://github.com/GlasgowEmbedded/glasgow/blob/main/software/glasgow/support/plugin.py

glasgow/software/glasgow/support/plugin.py at main · GlasgowEmbedded/glasgow
Scots Army Knife for electronics. Contribute to GlasgowEmbedded/glasgow development by creating an account on GitHub.

This https://arxiv.org/abs/2312.15020 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Automated Approaches to Detect Self-Admitted Technical Debt: A Systematic Literature Review
Technical debt is a pervasive issue in software development, often arising from trade-offs made during development, which can impede software maintainability and hinder future development efforts. Self-admitted technical debt (SATD) refers to instances where developers explicitly acknowledge suboptimal code quality or design flaws in the codebase. Automated detection of SATD has emerged as a critical area of research, aiming to assist developers in identifying and addressing technical debt effi…

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://…

I watched over Laura’s shoulder on the flight home, reading the subtitles. Every time there was a cabin announcement they’d clear the screen and then turn off the subtitles. Every time. I despair at the state of software development today.

This https://arxiv.org/abs/2311.07422 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sidekick compilation with xDSL
Traditionally, compiler researchers either conduct experiments within an existing production compiler or develop their own prototype compiler; both options come with trade-offs. On one hand, prototyping in a production compiler can be cumbersome, as they are often optimized for program compilation speed at the expense of software simplicity and development speed. On the other hand, the transition from a prototype compiler to production requires significant engineering work. To bridge this gap, …

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns
Jan H. Klemmer (CISPA Helmholtz Center for Information Security), Stefan Albert Horstmann (Ruhr University Bochum), Nikhil Patnaik (University of Bristol), Cordelia Ludden (Tufts University), Cordell Burton Jr (Tufts University), Carson Powers (Tufts University), Fabio Massacci (Vrije Universiteit Amsterdam, University of Trento), Akond Rahman (Auburn University), Daniel Votipka (Tufts U…

A Framework for Controlling Multiple Industrial Robots using Mobile Applications
Daniela Alvarado, Dr. Seemal Asif
https://arxiv.org/abs/2403.07639 https:/…

A Framework for Controlling Multiple Industrial Robots using Mobile Applications
Purpose: Over the last few decades, the development of the hardware and software has enabled the application of advanced systems. In the robotics field, the UI design is an intriguing area to be explored due to the creation of devices with a wide range of functionalities in a reduced size. Moreover, the idea of using the same UI to control several systems arouses a great interest considering that this involves less learning effort and time for the users. Therefore, this paper will present a mob…

Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead
Juan M. Murillo, Jose Garcia-Alonso, Enrique Moguel, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo P\'erez, Ignacio Garc\'ia Rodr\'iguez de Guzm\'an, Mario Piattini, Antonio Ruiz-Cort\'es, Antonio Brogi, Jianjun Zhao, Andriy Miranskyy, Manuel Wimmer

Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead
As quantum computers evolve, so does the complexity of the software that they can run. To make this software efficient, maintainable, reusable, and cost-effective, quality attributes that any industry-grade software should strive for, mature software engineering approaches should be applied during its design, development, and operation. Due to the significant differences between classical and quantum software, applying classical software engineering solutions to quantum software is difficult. T…

“Tavisten somet on ilkeitten kapitalistien ja kauheitten algoritmien hallitsemat”
“… easy to connect and meet new people based on shared interests without the maniuplation of your attention to maximize ad revenue nor the walled garden lock-in of capitalist social media… freelancer cooperative that uses its margins to fund the development of free software that breaks down the walls between metaverse platforms”
"Ei noin, blokatkaa”
Joskus me “hyvät” ihmiset olemme kyllä …

Because they bring me such joy, I will share with you all the software testing videos I share with my Software Design and Development students.
Video 1/3: “We don’t need user testing! We already know our users”

Malware in proprietary software - Latest Additions
#GNU #Malware

Another one bites the dust.
https://www.phoronix.com/news/Intel-Hyperscan-Now-Proprietary

Software and computing for Run 3 of the ATLAS experiment at the LHC
ATLAS Collaboration
https://arxiv.org/abs/2404.06335 https://arxi…

Software and computing for Run 3 of the ATLAS experiment at the LHC
The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management, database infrastructure, and validation. The use of these systems to prepare the data for physics analysis and assess its quality are described, along with the software tools used for data analysis itself. An outlook for the development of these projects towa…

On Test Sequence Generation using Multi-Objective Particle Swarm Optimization
Zain Iqbal, Kashif Zafar, Aden Iqbal, Ayesha Khan
https://arxiv.org/abs/2404.06568

On Test Sequence Generation using Multi-Objective Particle Swarm Optimization
Software testing is an important and essential part of the software development life cycle and accounts for almost one-third of system development costs. In the software industry, testing costs can account for about 35% to 40% of the total cost of a software project. Therefore, providing efficient ways to test software is critical to reduce cost, time, and effort. Black-box testing and White-box testing are two essential components of software testing. Black-box testing focuses on the software'…

On one side I keep being told that chatbot interfaces are the NUI that we were promised 10 years ago - the perfectly intuitive interface messiah come to liberate us from #UX design.
On the other side I keep being told that prompt engineering is the #software development of the future and chatbot…

Some interesting ideas from David Whitney on the sustainability (or lack thereof) of the development of open source software.
He calls for dual licensing: copyleft and a license that forces large companies to pay the author.
https://www.youtube.com/watch?v=9YQgNDLFYq8

DONAPI: Malicious NPM Packages Detector using Behavior Sequence Knowledge Mapping
Cheng Huang (Sichuan University), Nannan Wang (Sichuan University), Ziyan Wang (Sichuan University), Siqi Sun (Sichuan University), Lingzi Li (Sichuan University), Junren Chen (Sichuan University), Qianchong Zhao (Sichuan University), Jiaxuan Han (Sichuan University), Zhen Yang (Sichuan University), Lei Shi (Huawei Technologies)

DONAPI: Malicious NPM Packages Detector using Behavior Sequence Knowledge Mapping
With the growing popularity of modularity in software development comes the rise of package managers and language ecosystems. Among them, npm stands out as the most extensive package manager, hosting more than 2 million third-party open-source packages that greatly simplify the process of building code. However, this openness also brings security risks, as evidenced by numerous package poisoning incidents. In this paper, we synchronize a local package cache containing more than 3.4 million pa…

What are some techniques you use to get better at coding/programming? At 40, I feel like I take a lot of granted in my experience and retained knowledge. #code #development #software

Are you hiring a research software engineer? Which competencies are you looking for?
Check out this paper and let us know if these competencies match your expectations.
#RSEng
https://buff.ly/46o1zNm<…

Foundational Competencies and Responsibilities of a Research Software Engineer
The term Research Software Engineer, or RSE, emerged a little over 10 years ago as a way to represent individuals working in the research community but focusing on software development. The term has been widely adopted and there are a number of high-level definitions of what an RSE is. However, the roles of RSEs vary depending on the institutional context they work in. At one end of the spectrum, RSE roles may look similar to a traditional research role. At the other extreme, they resemble that…

Developers at API-First Companies are happier? That's maybe a little bit of a stretch of the imagination, dear #Postman - but I do think yous general gist is spot on. In a highly technical marketplace, it makes sense to communicate your intents and services in a highly technical way

What Is an API-First Company? | Postman
Are you an API-first company? API-first is the new model of software development in which applications are conceptualized and built as an interconnection of internal and external services through APIs.

"Throughout the history of #softwaredevelopment, employers have consistently preferred to fund tools that #deskill & attempt to abstract expertise away over tools that genuinely improve productivity and the quality of the output, BUT also happen to require expertise and skill.
This…

React, Electron, and LLMs have a common purpose: the labour arbitrage theory of dev tool popularity
The evolution of software development over the past decade has been very frustrating. Little of it seems to makes sense, even to those of us who are right in the middle of it.

This is the greatest thing about activitypub and fedi and the permissionless protocol openness.
Free experimentation, lots of really good clients. No restrictions on paying to use the APIs or being banned because you don't show the adverts. No permission needed from a CEO or a Tech Support to just make the best client and nobody cares if everyone stops using Mastodon front-end.
Doesn't matter how many millions you spend on software development if the aim is serving the corporation not the user. You still get manipulative shitware.

I have a student, recent graduate, who’s looking for a software development job and is up against the US visa deadline. Any advice on where he should be looking? Know of companies, or even industries, a bit removed from the fallout of Big Tech’s layoffs?
This student could be a •great• help to some not-tech org struggling to hold together their web site or some internal system that’s a bit beyond their maintenance capacity.
The software job market is bizarre right now. Any tips w…

A Repository for Formal Contexts
Tom Hanika, Robert J\"aschke
https://arxiv.org/abs/2404.04344 https://arxiv.org/pdf/2404.04344<…

A Repository for Formal Contexts
Data is always at the center of the theoretical development and investigation of the applicability of formal concept analysis. It is therefore not surprising that a large number of data sets are repeatedly used in scholarly articles and software tools, acting as de facto standard data sets. However, the distribution of the data sets poses a problem for the sustainable development of the research field. There is a lack of a central location that provides and describes FCA data sets and links the…

📈 Forklift: An Extensible Neural Lifter
#ai #compilers

Forklift: An Extensible Neural Lifter
The escalating demand to migrate legacy software across different Instruction Set Architectures (ISAs) has driven the development of assembly-to-assembly translators to map between their respective assembly languages. However, the development of these tools requires substantial engineering effort. State-of-the-art approaches use lifting, a technique where source assembly code is translated to an architecture-independent intermediate representation (IR) (for example, the LLVM IR) and use a pre-e…

Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research
Sonja M. Hyrynsalmi, Sebastian Baltes, Chris Brown, Rafael Prikladnicki, Gema Rodriguez-Perez, Alexander Serebrenik, Jocelyn Simmonds, Bianca Trinkenreich, Yi Wang, Grischa Liebel
https://arxiv.org/abs/2404.0714…

Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research
Software systems are responsible for nearly all aspects of modern life and society. However, the demographics of software development teams that are tasked with designing and maintaining these software systems rarely match the demographics of users. As the landscape of software engineering (SE) evolves due to technological innovations, such as the rise of automated programming assistants powered by artificial intelligence (AI) and machine learning, more effort is needed to promote software deve…

I have a job opening for a research software engineer for expanding our #Python libraries for #massspec data analysis!
You should bring Python software development skills. #massspec or

Stellenangebot Wissenschaftliche*r Mitarbeiter*in (w/m/d) als Research Software Engineer bei Hochschule Düsseldorf
Wir suchen Sie als Wissenschaftliche*r Mitarbeiter*in (w/m/d) als Research Software Engineer für den Fachbereich Medien.

jdk: Java SE Dev Kit dependencies (1.6.0.7)
A network of class dependencies within the JDK (Java SE Development Kit) 1.6.0.7 framework. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6434 nodes and 150985 edges.
Tags: Technological, Software, Unweighted, Multigraph
https://…

Another one bites the dust.
https://www.phoronix.com/news/Intel-Hyperscan-Now-Proprietary

...So we had passion, we had ability, we had opportunity (the #software_development system we developed allowed doing so), we delivered good software (so those that relied on us were willing to let us have more freedom to care about things crazy technology people care about but they may not have seen any need for) and we kept striving to improve (linked back to the passion we felt). T…

I can't figure out how to summarize it, so I'll just write: "you should read this article", which is another very good take on large language models (so-called "AI") and their use for writing software in particular.
https://jenniferplusplus.com/losing-th

Losing the imitation game
AI cannot develop software for you, but that's not going to stop people from trying to make it happen anyway. And that is going to turn all of the easy software development problems into hard problems.

The RP2040 Connectivity Board — An IoT solution combining LTE, Wi-Fi, and BLE into a single platform
https://www.cnx-software.com/2024/03/15/rp2040-connectivity-board-iot-solution-combining-lte-wi-f…

Apple's done it again: they've created another amazing piece of hardware that would be a fantastic tool for writing software, and yet they still prohibit local development

Been thinking again about recent #ThingUmbrella survey results and also what @… emphasized recently, i.e. that "Software development is an intensely social discipline.". I fully agree.
Too much power in a programming language/tooling means no…

Small-Scale Testbed for Evaluating C-V2X Applications on 5G Cellular Networks
Kaj Munhoz Arfvidsson, Kleio Fragkedaki, Frank J. Jiang, Vandana Narri, Hans-Cristian Lindh, Karl H. Johansson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2405.05911

Small-Scale Testbed for Evaluating C-V2X Applications on 5G Cellular Networks
In this work, we present a small-scale testbed for evaluating the real-life performance of cellular V2X (C-V2X) applications on 5G cellular networks. Despite the growing interest and rapid technology development for V2X applications, researchers still struggle to prototype V2X applications with real wireless networks, hardware, and software in the loop in a controlled environment. To help alleviate this challenge, we present a testbed designed to accelerate development and evaluation of C-V2X a…

A Reddit user seeks advice for starting a cybersecurity club at their university. They plan to focus on secure software development, cryptography, malware development, and pentesting. Their aim is to prepare members for various certifications like Network , Security , SSCP, C|EH, eCPPT, or CRPT. They also contemplate establishing a cybersecurity lab as a practical project for the club. https://reddit.com/r/cybersecurity/comments/1b7pjid/

The Washington Post partners with Virginia Tech for an AI tool that answers readers questions based on data taken from WaPo's previous coverage (Kaela Roeder/Technical.ly)
https://technical.ly/software-development/washington-post-ai-tool-virgin…

The Washington Post is developing an AI-powered answer tool informed by its coverage
The platform, which doesn’t yet have a release date, will be powered by the paper’s archives and latest coverage.

This https://arxiv.org/abs/2312.05626 has been replaced.
link: https://scholar.google.com/scholar?q=a

Redefining Developer Assistance: Through Large Language Models in Software Ecosystem
In this paper, we delve into the advancement of domain-specific Large Language Models (LLMs) with a focus on their application in software development. We introduce DevAssistLlama, a model developed through instruction tuning, to assist developers in processing software-related natural language queries. This model, a variant of instruction tuned LLM, is particularly adept at handling intricate technical documentation, enhancing developer capability in software specific tasks. The creation of De…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
Mingming Wang
https://arxiv.org/abs/2405.05627 https://arxiv.or…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
With the rapid development of LLMs and AIGC technology, we present a Rhino platform plugin utilizing stable diffusion technology. This plugin enables real-time application deployment from 3D modeling software, integrating stable diffusion models with Rhino's features. It offers intelligent design functions, real-time feedback, and cross-platform linkage, enhancing design efficiency and quality. Our ongoing efforts focus on optimizing the plugin to further advance AI applications in CAD, empower…

On one side I keep being told that chatbot interfaces are the NUI that we were promised 10 years ago - the perfectly intuitive interface messiah come to liberate us from #UX design.
On the other side I keep being told that prompt engineering is the #software development of the future and chatbot…

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS
Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Lutz Eckstein
https://arxiv.org/abs/2404.01836

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS
Future mobility systems and their components are increasingly defined by their software. The complexity of these cooperative intelligent transport systems (C-ITS) and the everchanging requirements posed at the software require continual software updates. The dynamic nature of the system and the practically innumerable scenarios in which different software components work together necessitate efficient and automated development and testing procedures that use simulations as one core methodology.…

Unveiling Latent Topics in Robotic Process Automation -- an Approach based on Latent Dirichlet Allocation Smart Review
Petr Prucha, Peter Madzik, Lukas Falat, Hajo A. Reijers
https://arxiv.org/abs/2404.05836

Unveiling Latent Topics in Robotic Process Automation -- an Approach based on Latent Dirichlet Allocation Smart Review
Robotic process automation (RPA) is a software technology that in recent years has gained a lot of attention and popularity. By now, research on RPA has spread into multiple research streams. This study aims to create a science map of RPA and its aspects by revealing latent topics related to RPA, their research interest, impact, and time development. We provide a systematic framework that is helpful to develop further research into this technology. By using an unsupervised machine learning meth…

Software Compensation for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn, O. Bach, E. Brianne, A. Ebrahimi, K. Gadow, P. G\"ottlicher, O. Hartbrich, D. Heuchel, A. Irles, K. Kr\"uger, J. Kvasnicka, S. Lu, C. Neub\"user, A. Provenza, M. Reinecke, F. Sefkow, S. Schuwalow, M. De Silva, Y. Sudo, H. L. Tran, E. Buhmann, E. Garutti, S. Huck, G. Kasieczka, S. Martens, J. Rolph, J. Wellhausen, G. C. Blazey, A. Dyshkant, K. Francis, V. Zutshi, B.…

Software Compensation for Highly Granular Calorimeters using Machine Learning
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. The neural network method produced a depth-dependent energy weighting and a time-dependent threshold for enhancing energy deposits consistent with the timescale…

Should the government directly own and operate computer software development for consumers?

Public-private funding models in open source software development: A case study on scikit-learn
Cailean Osborne
https://arxiv.org/abs/2404.06484 https://…

Public-private funding models in open source software development: A case study on scikit-learn
Governments are increasingly allocating funding for open source software (OSS) development in order to address concerns related to software security, digital sovereignty, and the competitiveness of domestic software markets, amongst others. While such funding is generally welcomed by OSS practitioners, how OSS developers perceive the relative benefits and drawbacks of governmental funding remains an open question. This paper explores this question through a case study on scikit-learn, a Python …

I have a job opening for a research software engineer for expanding our #Python libraries for #massspec data analysis!
You should bring Python software development skills. #massspec or

Stellenangebot Wissenschaftliche*r Mitarbeiter*in (w/m/d) als Research Software Engineer bei Hochschule Düsseldorf
Wir suchen Sie als Wissenschaftliche*r Mitarbeiter*in (w/m/d) als Research Software Engineer für den Fachbereich Medien.

This https://arxiv.org/abs/2404.06484 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Public-private funding models in open source software development: A case study on scikit-learn
Governments are increasingly allocating funding for open source software (OSS) development in order to address concerns related to software security, digital sovereignty, and the competitiveness of domestic software markets, amongst others. While such funding is generally welcomed by OSS practitioners, how OSS developers perceive the relative benefits and drawbacks of governmental funding remains an open question. This paper explores this question through a case study on scikit-learn, a Python …

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

This https://arxiv.org/abs/2404.01836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS
Future mobility systems and their components are increasingly defined by their software. The complexity of these cooperative intelligent transport systems (C-ITS) and the everchanging requirements posed at the software require continual software updates. The dynamic nature of the system and the practically innumerable scenarios in which different software components work together necessitate efficient and automated development and testing procedures that use simulations as one core methodology.…

Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications
Simon Schneider, Alexander Bakhtin, Xiaozhou Li, Jacopo Soldani, Antonio Brogi, Tomas Cerny, Riccardo Scandariato, Davide Taibi
https://arxiv.org/abs/2403.06941

Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications
Architecture recovery tools help software engineers obtain an overview of their software systems during all phases of the software development lifecycle. This is especially important for microservice applications because their distributed nature makes it more challenging to oversee the architecture. Various tools and techniques for this task are presented in academic and grey literature sources. Practitioners and researchers can benefit from a comprehensive overview of these tools and their abi…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
Mingming Wang
https://arxiv.org/abs/2405.05627 https://arxiv.or…

AI in Your Toolbox: A Plugin for Generating Renderings from 3D Models
With the rapid development of LLMs and AIGC technology, we present a Rhino platform plugin utilizing stable diffusion technology. This plugin enables real-time application deployment from 3D modeling software, integrating stable diffusion models with Rhino's features. It offers intelligent design functions, real-time feedback, and cross-platform linkage, enhancing design efficiency and quality. Our ongoing efforts focus on optimizing the plugin to further advance AI applications in CAD, empower…

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
Edi Sutoyo, Andrea Capiluppi
https://arxiv.org/abs/2403.07690 https:…

SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence of technical shortcuts, workarounds, or temporary solutions within the codebase. Over recent years, researchers have manually labeled datasets derived from various software development artifacts: source code comments, messages from the issue tracker and pull request sections, and commit messages. These datasets are designed for training, evaluation, perfor…

This https://arxiv.org/abs/2404.01836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS
Future mobility systems and their components are increasingly defined by their software. The complexity of these cooperative intelligent transport systems (C-ITS) and the everchanging requirements posed at the software require continual software updates. The dynamic nature of the system and the practically innumerable scenarios in which different software components work together necessitate efficient and automated development and testing procedures that use simulations as one core methodology.…

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

This essay from @… is very good, and very important.
It’s good enough and important enough that I’m just going to QFT the heck out of it here on Mastodon until I annoy you into readying the whole thing.

Losing the imitation game
AI cannot develop software for you, but that's not going to stop people from trying to make it happen anyway. And that is going to turn all of the easy software development problems into hard problems.

This https://arxiv.org/abs/2402.08436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

The current state of security -- Insights from the German software industry
These days, software development and security go hand in hand. Numerous techniques and strategies are discussed in the literature that can be applied to guarantee the incorporation of security into the software development process. In this paper the main ideas of secure software development that have been discussed in the literature are outlined. Next, a dataset on implementation in practice is gathered through a qualitative interview research involving 20 companies. Trends and correlations in …

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead
Jieke Shi, Zhou Yang, David Lo
https://arxiv.org/abs/2404.04566

Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead
Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid development of the Large Language Models for Software Engineering (LLM4SE) area. However, limited attention has been paid to crafting efficient LLM4SE solutions that demand minimal time and memory resources, as well as green LLM4SE solutions that reduce energy consumption and carbon emissions. This 2030 Software Engineering position paper aims to redirect the focu…

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

6G Software Engineering: A Systematic Mapping Study
Ruoyu Su, Xiaozhou Li, Davide Taibi
https://arxiv.org/abs/2405.05017 https://arxi…

6G Software Engineering: A Systematic Mapping Study
6G will revolutionize the software world allowing faster cellular communications and a massive number of connected devices. 6G will enable a shift towards a continuous edge-to-cloud architecture. Current cloud solutions, where all the data is transferred and computed in the cloud, are not sustainable in such a large network of devices. Current technologies, including development methods, software architectures, and orchestration and offloading systems, still need to be prepared to cope with suc…

A Comprehensive Study on Automated Testing with the Software Lifecycle
Hussein Mohammed Ali, Mahmood Yashar Hamza, Tarik Ahmed Rashid
https://arxiv.org/abs/2405.01608

A Comprehensive Study on Automated Testing with the Software Lifecycle
The software development lifecycle depends heavily on the testing process, which is an essential part of finding issues and reviewing the quality of software. Software testing can be done in two ways: manually and automatically. With an emphasis on its primary function within the software lifecycle, the relevance of testing in general, and the advantages that come with it, this article aims to give a thorough review of automated testing. Finding time- and cost-effective methods for software tes…

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

DeVAIC: A Tool for Security Assessment of AI-generated Code
Domenico Cotroneo, Roberta De Luca, Pietro Liguori
https://arxiv.org/abs/2404.07548 https://

DeVAIC: A Tool for Security Assessment of AI-generated Code
Context: AI code generators are revolutionizing code writing and software development, but their training on large datasets, including potentially untrusted source code, raises security concerns. Furthermore, these generators can produce incomplete code snippets that are challenging to evaluate using current solutions. Objective: This research work introduces DeVAIC (Detection of Vulnerabilities in AI-generated Code), a tool to evaluate the security of AI-generated Python code, which overcomes …

Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions
Shandler A. Mason, Sandeep Kaur Kuttal
https://arxiv.org/abs/2404.07427

Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions
Remote pair programming is widely used in software development, but no research has examined how race affects these interactions. We embarked on this study due to the historical under representation of Black developers in the tech industry, with White developers comprising the majority. Our study involved 24 experienced developers, forming 12 gender-balanced same- and mixed-race pairs. Pairs collaborated on a programming task using the think-aloud method, followed by individual retrospective in…

Towards Understanding the Impact of Code Modifications on Software Quality Metrics
Thomas Karanikiotis, Andreas L. Symeonidis
https://arxiv.org/abs/2404.03953

Towards Understanding the Impact of Code Modifications on Software Quality Metrics
Context: In the realm of software development, maintaining high software quality is a persistent challenge. However, this challenge is often impeded by the lack of comprehensive understanding of how specific code modifications influence quality metrics. Objective: This study ventures to bridge this gap through an approach that aspires to assess and interpret the impact of code modifications. The underlying hypothesis posits that code modifications inducing similar changes in software quality …

github: GitHub contest (2009)
The bipartite project-user membership network of the software development hosting site GitHub. A user connects to a project if that user is a member of that project.
This network has 177386 nodes and 440237 edges.
Tags: Economic, Production, Unweighted
https://networks.skewed.de/net…

This https://arxiv.org/abs/2304.07531 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications: an Exploratory Study
Context: The popularity of cloud computing as the primary platform for developing, deploying, and delivering software is largely driven by the promise of cost savings. Therefore, it is surprising that no empirical evidence has been collected to determine whether cost awareness permeates the development process and how it manifests in practice. Objective: This study aims to provide empirical evidence of cost awareness by mining open source repositories of cloud-based applications. The focus is o…

This https://arxiv.org/abs/2403.14274 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance. Despite this progress, most studies have been limited to the perspective of a single role, usually testers, lacking diverse viewpoints from different roles in a typical software development life-cycle, including both developers and testers. To this end, this paper introduces a multi-role approach to employ LLMs to act as different rol…

Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Michael Neumann, Philipp Diebold
https://arxiv.org/abs/2405.01757 https://…

Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Agile methods are state of the art in software development. Companies worldwide apply agile to counter the dynamics of the markets. We know, that various factors like culture influence the successfully application of agile methods in practice and the sucess is differing from company to company. To counter these problems, we combine two causal models presented in literature: The Agile Practices Impact Model and the Model of Cultural Impact. In this paper, we want to better understand the two fac…

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems
Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Vahid Zolfaghari, Sven Kirchner, Nils Purschke, Muhammad Aqib Khan, Viktor Vorobev, Alois Knoll
https://arxiv.org/abs/2404.05508…

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems
We present a prototype of a tool leveraging the synergy of model driven engineering (MDE) and Large Language Models (LLM) for the purpose of software development process automation in the automotive industry. In this approach, the user-provided input is free form textual requirements, which are first translated to Ecore model instance representation using an LLM, which is afterwards checked for consistency using Object Constraint Language (OCL) rules. After successful consistency check, the mod…

Effective Delegation and Leadership in Software Management
Star Dawood Mirkhan, Skala Kamaran Omer, Hussein Mohammed Ali, Mahmood Yashar Hamza, Tarik Ahmed Rashid, Poornima Nedunchezhian
https://arxiv.org/abs/2405.01612

Effective Delegation and Leadership in Software Management
Delegation and leadership are critical components of software management, as they play a crucial role in determining the success of the software development process. This study examined the relationship between delegation and leadership in software management and the impact of these factors on project outcomes. Results showed that effective delegation and transformational leadership styles can improve workflow, enhance team motivation and productivity, and ultimately lead to successful software…

Prioritizing Software Requirements Using Large Language Models
Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem, Zheying Zhang, Tomas Herda, Pekka Abrahamsson
https://arxiv.org/abs/2405.01564

Prioritizing Software Requirements Using Large Language Models
Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generating code, and creating test cases, among others. This article focuses on requirements engineering, typically seen as the initial phase of software development that involves multiple system stakeholders. Despite its key role, the challenge of identifying requirements and satisfying all stakeholders within time and budge…

AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, Abhik Roychoudhury
https://arxiv.org/abs/2404.05427 https://

AutoCodeRover: Autonomous Program Improvement
Researchers have made significant progress in automating the software development process in the past decades. Automated techniques for issue summarization, bug reproduction, fault localization, and program repair have been built to ease the workload of developers. Recent progress in Large Language Models (LLMs) has significantly impacted the development process, where developers can use LLM-based programming assistants to achieve automated coding. Nevertheless software engineering involves the…

Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations
SiQi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, XingYu Wang
https://arxiv.org/abs/2405.04861

Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations
With the rapid development of deep learning, the implementation of intricate algorithms and substantial data processing have become standard elements of deep learning projects. As a result, the code has become progressively complex as the software evolves, which is difficult to maintain and understand. Existing studies have investigated the impact of refactoring on software quality within traditional software. However, the insight of code refactoring in the context of deep learning is still unc…

This https://arxiv.org/abs/2311.16396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
Identifying security issues early is encouraged to reduce the latent negative impacts on software systems. Code review is a widely-used method that allows developers to manually inspect modified code, catching security issues during a software development cycle. However, existing code review studies often focus on known vulnerabilities, neglecting coding weaknesses, which can introduce real-world security issues that are more visible through code review. The practices of code reviews in identif…

This https://arxiv.org/abs/2404.06484 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Public-private funding models in open source software development: A case study on scikit-learn
Governments are increasingly funding open source software (OSS) development to support software security, digital sovereignty, and national competitiveness in science and innovation, amongst others. However, little is known about how OSS developers evaluate the relative benefits and drawbacks of emergent governmental funding for OSS. This paper explores this question through a case study on scikit-learn, a popular Python library for machine learning, which has been funded by public research gra…

This https://arxiv.org/abs/2404.13630 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Utilizing Deep Learning to Optimize Software Development Processes
This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation to enhance code quality and development efficiency. Through a series of empirical studies, experimental groups using deep learning tools and control groups using traditional methods were compared in terms of code error rates and project completion times. The results demonstrated significant improvements in the experim…

Effective Fault Localization using Probabilistic and Grouping Approach
Saksham Sahai Srivastava, Arpita Dutta, Rajib Mall
https://arxiv.org/abs/2403.05022 …

Effective Fault Localization using Probabilistic and Grouping Approach
Context: Fault localization (FL) is the key activity while debugging a program. Any improvement to this activity leads to significant improvement in total software development cost. There is an internal linkage between the program spectrum and test execution result. Conditional probability in statistics captures the probability of occurring one event in relationship to one or more other events. Objectives: The aim of this paper is to use the conception of conditional probability to design an ef…

Generative Software Engineering
Yuan Huang, Yinan Chen, Xiangping Chen, Junqi Chen, Rui Peng, Zhicao Tang, Jinbo Huang, Furen Xu, Zibin Zheng
https://arxiv.org/abs/2403.02583

Generative Software Engineering
The rapid development of deep learning techniques, improved computational power, and the availability of vast training data have led to significant advancements in pre-trained models and large language models (LLMs). Pre-trained models based on architectures such as BERT and Transformer, as well as LLMs like ChatGPT, have demonstrated remarkable language capabilities and found applications in Software engineering. Software engineering tasks can be divided into many categories, among which gener…

AI for DevSecOps: A Landscape and Future Opportunities
Michael Fu, Jirat Pasuksmit, Chakkrit Tantithamthavorn
https://arxiv.org/abs/2404.04839 https://

AI for DevSecOps: A Landscape and Future Opportunities
DevOps has emerged as one of the most rapidly evolving software development paradigms. With the growing concerns surrounding security in software systems, the DevSecOps paradigm has gained prominence, urging practitioners to incorporate security practices seamlessly into the DevOps workflow. However, integrating security into the DevOps workflow can impact agility and impede delivery speed. Recently, the advancement of artificial intelligence (AI) has revolutionized automation in various softwa…

Artificial intelligence for context-aware visual change detection in software test automation
Milad Moradi, Ke Yan, David Colwell, Rhona Asgari
https://arxiv.org/abs/2405.00874

Artificial intelligence for context-aware visual change detection in software test automation
Automated software testing is integral to the software development process, streamlining workflows and ensuring product reliability. Visual testing within this context, especially concerning user interface (UI) and user experience (UX) validation, stands as one of crucial determinants of overall software quality. Nevertheless, conventional methods like pixel-wise comparison and region-based visual change detection fall short in capturing contextual similarities, nuanced alterations, and underst…

Challenges of Processing Data Clumps within Plugin Architectures of Integrated Development Environment
Nils Baumgartner, Elke Pulverm\"uller
https://arxiv.org/abs/2403.03903 …

Challenges of Processing Data Clumps within Plugin Architectures of Integrated Development Environment
In this study, we explore advanced strategies for enhancing software quality by detecting and refactoring data clumps, special types of code smells. Our approach transcends the capabilities of integrated development environments, utilizing a novel method that separates the detection of data clumps from the source access. This method facilitates data clump processing. We introduce a command-line interface plugin to support this novel method of processing data clumps. This research highlights the…

Codexity: Secure AI-assisted Code Generation
Sung Yong Kim, Zhiyu Fan, Yannic Noller, Abhik Roychoudhury
https://arxiv.org/abs/2405.03927 https://

Codexity: Secure AI-assisted Code Generation
Despite the impressive performance of Large Language Models (LLMs) in software development activities, recent studies show the concern of introducing vulnerabilities into software codebase by AI programming assistants (e.g., Copilot, CodeWhisperer). In this work, we present Codexity, a security-focused code generation framework integrated with five LLMs. Codexity leverages the feedback of static analysis tools such as Infer and CppCheck to mitigate security vulnerabilities in LLM-generated prog…

A RAG Method for Source Code Inquiry Tailored to Long-Context LLMs
Toshihiro Kamiya
https://arxiv.org/abs/2404.06082 https://arxiv.or…

A RAG Method for Source Code Inquiry Tailored to Long-Context LLMs
Although the context length limitation of large language models (LLMs) has been mitigated, it still hinders their application to software development tasks. This study proposes a method incorporating execution traces into RAG for inquiries about source code. Small-scale experiments confirm a tendency for the method to contribute to improving LLM response quality.

This https://arxiv.org/abs/2402.02824 has been replaced.
link: https://scholar.google.com/scholar?q=a

FAIR-USE4OS: Guidelines for Creating Impactful Open-Source Software
This paper extends the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to provide criteria for assessing if software conforms to best practices in open source. By adding 'USE' (User-Centered, Sustainable, Equitable), software development can adhere to open source best practice by incorporating user-input early on, ensuring front-end designs are accessible to all possible stakeholders, and planning long-term sustainability alongside software design. The FAIR-USE4OS guidelines wil…

Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe R. Cogo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei Lin, Wali Mohammad Abdullah, Zhen Ming Jiang

Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
Foundation models (FMs), such as Large Language Models (LLMs), have revolutionized software development by enabling new use cases and business models. We refer to software built using FMs as FMware. The unique properties of FMware (e.g., prompts, agents, and the need for orchestration), coupled with the intrinsic limitations of FMs (e.g., hallucination) lead to a completely new set of software engineering challenges. Based on our industrial experience, we identified 10 key SE4FMware challenges …

Exploring LLM-based Agents for Root Cause Analysis
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
https://arxiv.org/abs/2403.04123

Exploring LLM-based Agents for Root Cause Analysis
The growing complexity of cloud based software systems has resulted in incident management becoming an integral part of the software development lifecycle. Root cause analysis (RCA), a critical part of the incident management process, is a demanding task for on-call engineers, requiring deep domain knowledge and extensive experience with a team's specific services. Automation of RCA can result in significant savings of time, and ease the burden of incident management on on-call engineers. Recen…

An Exploratory Study of the Relationship between SATD and Other Software Development Activities
Shima Esfandiari, Ashkan Sami
https://arxiv.org/abs/2404.01950

An Exploratory Study of the Relationship between SATD and Other Software Development Activities
Technical Debt is a common issue that arises when short-term gains are prioritized over long-term costs, leading to a degradation in the quality of the code. Self-Admitted Technical Debt (SATD) is a specific type of Technical Debt that involves documenting code to remind developers of its debt. Previous research has explored various aspects of SATD, including detection methods, distribution, and its impact on software quality. To better understand SATD, one comprehension technique is to examine…

Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team
Reed Milewicz, Jon Bisila, Miranda Mundt, Joshua Teves
https://arxiv.org/abs/2403.16827

Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team
Evidence-based practice (EBP) in software engineering aims to improve decision-making in software development by complementing practitioners' professional judgment with high-quality evidence from research. We believe the use of EBP techniques may be helpful for research software engineers (RSEs) in their work to bring software engineering best practices to scientific software development. In this study, we present an experience report on the use of a particular EBP technique, rapid reviews, wit…

Automated User Story Generation with Test Case Specification Using Large Language Model
Tajmilur Rahman, Yuecai Zhu
https://arxiv.org/abs/2404.01558 https:…

Automated User Story Generation with Test Case Specification Using Large Language Model
Modern Software Engineering era is moving fast with the assistance of artificial intelligence (AI), especially Large Language Models (LLM). Researchers have already started automating many parts of the software development workflow. Requirements Engineering (RE) is a crucial phase that begins the software development cycle through multiple discussions on a proposed scope of work documented in different forms. RE phase ends with a list of user-stories for each unit task identified through discus…

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
Larissa Salerno, Christoph Treude, Patanamon Thongtatunam
https://arxiv.org/abs/2404.14637

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
As the world of technology advances, so do the tools that software developers use to create new programs. In recent years, software development tools have become more popular, allowing developers to work more efficiently and produce higher-quality software. Still, installing such tools can be challenging for novice developers at the early stage of their careers, as they may face challenges, such as compatibility issues (e.g., operating systems). Therefore, this work aims to investigate the chal…

This https://arxiv.org/abs/2206.13690 has been replaced.
link: https://scholar.google.com/scholar?q=a

Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDA
In the realm of software development, the clarity, completeness, and comprehensiveness of requirements significantly impact the success of software systems. The Software Requirement Specification (SRS) document, a cornerstone of the software development life cycle, delineates both functional and nonfunctional requirements, playing a pivotal role in ensuring the quality and timely delivery of software projects. However, the inherent natural language representation of these requirements poses cha…

This https://arxiv.org/abs/2206.13690 has been replaced.
link: https://scholar.google.com/scholar?q=a

Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDA
In the realm of software development, the clarity, completeness, and comprehensiveness of requirements significantly impact the success of software systems. The Software Requirement Specification (SRS) document, a cornerstone of the software development life cycle, delineates both functional and nonfunctional requirements, playing a pivotal role in ensuring the quality and timely delivery of software projects. However, the inherent natural language representation of these requirements poses cha…

Low-Modeling of Software Systems
Jordi Cabot
https://arxiv.org/abs/2402.18375 https://arxiv.org/pdf/2402.18375

Low-Modeling of Software Systems
There is a growing need for better development methods and tools to keep up with the increasing complexity of new software systems. New types of user interfaces, the need for intelligent components, sustainability concerns, ... bring new challenges that we need to handle. In the last years, model-driven engineering has been key to improving the quality and productivity of software development, but models themselves are becoming increasingly complex to specify and manage. In this paper, we prese…

DevPhish: Exploring Social Engineering in Software Supply Chain Attacks on Developers
Hossein Siadati, Sima Jafarikhah, Elif Sahin, Terrence Brent Hernandez, Elijah Lorenzo Tripp, Denis Khryashchev
https://arxiv.org/abs/2402.18401

DevPhish: Exploring Social Engineering in Software Supply Chain Attacks on Developers
The Software Supply Chain (SSC) has captured considerable attention from attackers seeking to infiltrate systems and undermine organizations. There is evidence indicating that adversaries utilize Social Engineering (SocE) techniques specifically aimed at software developers. That is, they interact with developers at critical steps in the Software Development Life Cycle (SDLC), such as accessing Github repositories, incorporating code dependencies, and obtaining approval for Pull Requests (PR) t…

This https://arxiv.org/abs/2403.02583 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Generative Software Engineering
The rapid development of deep learning techniques, improved computational power, and the availability of vast training data have led to significant advancements in pre-trained models and large language models (LLMs). Pre-trained models based on architectures such as BERT and Transformer, as well as LLMs like ChatGPT, have demonstrated remarkable language capabilities and found applications in Software engineering. Software engineering tasks can be divided into many categories, among which gener…