Tootfinder

This https://arxiv.org/abs/2312.10170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

UINav: A Practical Approach to Train On-Device Automation Agents
Automation systems that can autonomously drive application user interfaces to complete user tasks are of great benefit, especially when users are situationally or permanently impaired. Prior automation systems do not produce generalizable models while AI-based automation agents work reliably only in simple, hand-crafted applications or incur high computation costs. We propose UINav, a demonstration-based approach to train automation agents that fit mobile devices, yet achieving high success rat…

NewsGuard adds AI-assisted tools for early detection of election-related misinformation, with exclusion lists for advertisers that want to avoid such misinfo (Marty Swant/Digiday)
https://digiday.com/media/newsguard-deb…

Newsguard debuts new automation tools for tracking election-related misinformation
The news rating service's new features will track disinformation on websites, social media and video channels.

Zhu Xingming, founder of Chinese robot maker Inovance, dubbed little Huawei, says protectionism won't stop its growth as automation is critical to supply chains (Financial Times)
https://t.co/xjfmcrAYyU

This https://arxiv.org/abs/2312.10170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

UINav: A Practical Approach to Train On-Device Automation Agents
Automation systems that can autonomously drive application user interfaces to complete user tasks are of great benefit, especially when users are situationally or permanently impaired. Prior automation systems do not produce generalizable models while AI-based automation agents work reliably only in simple, hand-crafted applications or incur high computation costs. We propose UINav, a demonstration-based approach to train automation agents that fit mobile devices, yet achieving high success rat…

The automation of smart EV charging enables precise response to a variety of signals. Dynamic electricity prices, hourly prices reflecting the day-ahead wholesale market, are an important input for EV drivers in more and more European countries. But hourly prices need not be the only input:
#EV #SmartCharging

Today is "Curse the layers of bureaucracy that make your jobs worse"-Day.
My latest example is: Our venue gets to use a new parking lot that's automated with number plates. So new part of my job is to get the number plate for any band that plays here at least a week before the show. It's a small thing but it becomes layers upon layers of these small things. Get data to fill out forms to automate things because automation _seems_ so much more effective. Grindwork for a…

AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
Romina Eramo, Hamzeh Eyal Salman, Matteo Spezialetti, Darko Stern, Pierre Quinton, Antonio Cicchetti
https://arxiv.org/abs/2404.02841

AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
The risen complexity of automotive systems requires new development strategies and methods to master the upcoming challenges. Traditional methods need thus to be changed by an increased level of automation, and a faster continuous improvement cycle. In this context, current vehicle performance tests represent a very time-consuming and expensive task due to the need to perform the tests in real driving conditions. As a consequence, agile/iterative processes like DevOps are largely hindered by th…

Some of these were hard to choose because I like a lot of different types of games :3 In general I really like automation and simulation games, I play a lot of Dyson Sphere Program. I also like Mario games since childhood, along with Sims games and other Maxis titles. Also played lots of retro pc games like Sim Tower, Theme Hospital and Roller Coaster Tycoon. And I've played a few visual novels over the years too

2024 Home Sweet Home Automation: The Winners Are In
https://poliverso.org/display/0477a01e-269a6bcb-de7c34a0cb50c0ce
2024 Home Sweet Home Automation: The Winners Are In Home automation is huge right now in consumer electronics, but despite the wide …

Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship
Petr Prucha
https://arxiv.org/abs/2403.00431 https://

Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship
Technological innovation plays a crucial role in driving economic growth and development. In this study, we investigate the extent to which technological innovation contributes to a more sustainable future and fosters entrepreneurship. To examine this, we focus on robotic process automation (RPA) highly relevant technology. We conducted a comprehensive analysis by examining the usage of RPA and its impact on environmental, social, and governance (ESG) factors. Our research involved gathering da…

Related to that last boost (https://mastodon.social/@SteveFaulkner/112212980289113651), I have already encountered orgs who have scaled back their accessibility efforts or plans because they feel automation that can do it *all* for them is right around the corner.…

Consistency Through Standardisation #automation
https://improveandrepeat.com/2024/04/consistency-through-standardisation/

Consistency Through Standardisation - Improve & Repeat
For an automation project we need to decide on a single way to do the work. Let us explore how we can do that.

I have tried to use iOS automation to create a timer when opening an app.
I used the iOS Shortcuts -> Automation -> When app is opened.
This action is triggered every time an app is activated though. So to make it work correctly, I’d need to manage state to know that the app has already activated.
Is this the right way to approach this? Are there better solutions?
#iOS

Generative AI in Cybersecurity
Shivani Metta, Isaac Chang, Jack Parker, Michael P. Roman, Arturo F. Ehuan
https://arxiv.org/abs/2405.01674 https://<…

Generative AI in Cybersecurity
The dawn of Generative Artificial Intelligence (GAI), characterized by advanced models such as Generative Pre-trained Transformers (GPT) and other Large Language Models (LLMs), has been pivotal in reshaping the field of data analysis, pattern recognition, and decision-making processes. This surge in GAI technology has ushered in not only innovative opportunities for data processing and automation but has also introduced significant cybersecurity challenges. As GAI rapidly progresses, it outst…

«As ever, the problem with a gadget isn't what it does: it's who it does it for and who it does it to. There are plenty of benefits from being a centaur – lots of ways that automation can help workers. But the only path to AI profitability lies in reverse centaurs, automation that turns the human in the loop into the crumple-zone for a robot»
https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

Couldn’t sleep last night so I made a little bot to run a speed test on my home router.
Just send a command and it’ll respond. Might expand this to do more.
#automation #homelab

Some of these were hard to choose because I like a lot of different types of games :3 In general I really like automation and simulation games, I play a lot of Dyson Sphere Program. I also like Mario games since childhood, along with Sims games and other Maxis titles. Also played lots of retro pc games like Sim Tower, Theme Hospital and Roller Coaster Tycoon. And I've played a few visual novels over the years too

…albeit it’s disputed whether the number of sales requiring direct human review (not labeling) is “a small minority” (as Amazon claims) or 700 out of 1000 (as The Information apparently reports). Huh.
https://fedi.aeracode.org/@andrew/112202934436235023

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang
https://arxiv.org/abs/2403.02426

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, different thematic areas of DT have been explored. This is no different in specific fields such as manufacturing, automation, oil and gas, and civil engineering, leading to fragmented approaches for field-specific applications. The civil engineering industry is further disadvantaged in this regard as it relies on external tec…

Dublin-based Tines, which offers no-code automation tools for security teams, raised a $50M Series B extension, sources say at a near $600M post-money valuation (Ingrid Lunden/TechCrunch)
https://techcrunch.com/2024/04/24/tine

Tines taps $50M to expand its workflow automation beyond security teams | TechCrunch
Automation continues to be a major theme in the enterprise -- underscored not least by the rise of AI as a tool to help fix some of the more routine,

Drove a new Honda and it abruptly warned me to keep my hands on the steering wheel. I’d never taken my hands off, it just very confidently and very wrongly scolded me which I found very annoying.
And this is why I still don’t want to buy a new car… all this automation is so half-assed 😩 don’t get me started on the “adaptive” cruise control or the lane assist 🫠

Automated Control Logic Test Case Generation using Large Language Models
Heiko Koziolek, Virendra Ashiwal, Soumyadip Bandyopadhyay, Chandrika K R
https://arxiv.org/abs/2405.01874 …

Automated Control Logic Test Case Generation using Large Language Models
Testing PLC and DCS control logic in industrial automation is laborious and challenging since appropriate test cases are often complex and difficult to formulate. Researchers have previously proposed several automated test case generation approaches for PLC software applying symbolic execution and search-based techniques. Often requiring formal specifications and performing a mechanical analysis of programs, these approaches may uncover specific programming errors but sometimes suffer from stat…

#Roomba

This https://arxiv.org/abs/2312.10170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

UINav: A Practical Approach to Train On-Device Automation Agents
Automation systems that can autonomously drive application user interfaces to complete user tasks are of great benefit, especially when users are situationally or permanently impaired. Prior automation systems do not produce generalizable models while AI-based automation agents work reliably only in simple, hand-crafted applications or incur high computation costs. We propose UINav, a demonstration-based approach to train automation agents that fit mobile devices, yet achieving high success rat…

This https://arxiv.org/abs/2310.14348 has been replaced.
link: https://scholar.google.com/scholar?q=a

DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle automation to the development of zero-energy communities, remains relatively unexplored. The primary challenge involves training agents to learn optimal policies that maximize rewards while adhering to stringent safety constraints, all without the oversight of a central controller. These constraints are critical in a wide array of applications. Moreov…

This https://arxiv.org/abs/2309.05030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
Prior work has explicated the coloniality of artificial intelligence (AI) development and deployment through mechanisms such as extractivism, automation, sociological essentialism, surveillance, and containment. However, that work has not engaged much with alignment: teaching behaviors to a large language model (LLM) in line with desired values, and has not considered a mechanism that arises within that process: moral absolutism -- a part of the coloniality of knowledge. Colonialism has a histo…

Dual-Arm Construction Robot for Automatic Fixation of Structural Parts to Concrete Surfaces in Narrow Environments
Andr\'e Yuji Yasutomi, Toshiaki Hatano, Kanta Hamasaki, Makoto Hattori, Daisuke Matsuka
https://arxiv.org/abs/2403.19948

Dual-Arm Construction Robot for Automatic Fixation of Structural Parts to Concrete Surfaces in Narrow Environments
Fixation of structural parts to concrete is a repetitive, heavy-duty, and time-consuming task that requires automation due to the lack of skilled construction workers. Previously developed automation techniques have not achieved the complete fixation of structural parts and are difficult to implement in narrow construction environments. In this study, we propose a construction robot system that enables the complete installation of structural parts to concrete and can be easily introduced to uns…

Generative.
—@… https://ethanmarcotte.com/wrote/generative/
A collection of quotes on automation and artificial intelligence.

Truth: https://lifehacker.com/tech/mona-best-mastodon-client

Mona Is the Best Mastodon Client for iOS
Mona, an iOS Mastodon client, supports post scheduling, automation, and an incredible amount of customization.

Couldn’t sleep last night so I made a little bot to run a speed test on my home router.
Just send a command and it’ll respond. Might expand this to do more.
#automation #homelab

Just learned that there’s a JavaScript-based screen reader driver for test automation called Guidepup.
https://www.guidepup.dev
Works with VoiceOver & NVDA (no Narrator or Orca/Linux support – but Orca is broken under Wayland so the latter, at least, is not surprising.)
Very cool! I l…

Screen reader driver for test automation | Guidepup
Reliable automation for your screen reader accessibility test workflows with Guidepup. Drive VoiceOver and NVDA a11y tests with ease

NYC-based Viam, which offers an automation software platform for robotics, IoT, smart homes, and more, raised a $45M Series B, taking its total raised to $87M (Brian Heater/TechCrunch)
https://techcrunch.com/2024/03/26/viam-looks-…

Viam looks beyond robotics with its no-code automation platform | TechCrunch
Since the last time we spoke, Viam didn’t pivot exactly, according to founder and CEO Eliot Horowitz -- it’s more of a “rebrand.” Roughly six months ago,

PromptRPA: Generating Robotic Process Automation on Smartphones from Textual Prompts
Tian Huang, Chun Yu, Weinan Shi, Zijian Peng, David Yang, Weiqi Sun, Yuanchun Shi
https://arxiv.org/abs/2404.02475

PromptRPA: Generating Robotic Process Automation on Smartphones from Textual Prompts
Robotic Process Automation (RPA) offers a valuable solution for efficiently automating tasks on the graphical user interface (GUI), by emulating human interactions, without modifying existing code. However, its broader adoption is constrained by the need for expertise in both scripting languages and workflow design. To address this challenge, we present PromptRPA, a system designed to comprehend various task-related textual prompts (e.g., goals, procedures), thereby generating and performing co…

The last three days or so, a Home Assistant automation I have had running for years has started to misbehave. Light goes on at 5pm, and off at 10pm via automation. Today it went on at 5, then off at 7:30ish. Log says 'zha_event'. There is a button on the lamp I coded back then too, so it can manually go on/off, I just almost never use it. Do zigbee buttons 'go bad' and fire randomly when they do?

This https://arxiv.org/abs/2401.01508 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering
[Context and Motivation] Natural Language Processing (NLP) is now a cornerstone of requirements automation. One compelling factor behind the growing adoption of NLP in Requirements Engineering (RE) is the prevalent use of natural language (NL) for specifying requirements in industry. NLP techniques are commonly used for automatically classifying requirements, extracting important information, e.g., domain models and glossary terms, and performing quality assurance tasks, such as ambiguity handl…

Call for Papers - Urban Automation: I Quaderni di Into the Black #7 #cfp http://www.intotheblackbox.com/english/cfp-urban-automation/

This is horrifying; an insult to humanity.
And besides, if you want to automate making burgers and fries, you would redesign the entire kitchen around a simpler system of automation, not create a gigantic ceiling-mounted robot arm that manipulates implements meant for human use.
#automation #ai

Future here, again. 👋
On a hot #planet, you need more ventilation. But since you’re living in a polluted world, better keep the windows shut. And turn the machines on.
Containment, purification, energy, degrowth, efficiency; it’s a mess. Expect harm. Neglect.
#climate

...Automation is used but is seen as a tool for helping people manage the process. This can be contrasted with the effort by GM in the 1990’s to spend billions of dollars on robots to save personnel costs.
Both Toyota and GM seek to use technology to improve but Toyota sees the technology as useful to help people to be more efficient, eliminate menial repetitive tasks, eliminate tasks that cause injury… GM saw technology as a way to eliminate people....

The GÉANT #Network #eAcademy - our training programme dedicated to network orchestration, automation and virtualisation - now includes content from the GlobalNOC at Indiana University.
- A new unit on the Global Network Automation Tool (GNAT)
- Documentation on the YAML, JSON, XML, Ansible, an…

Possibly one of the best descriptions of yak shaving that I've seen in many a while.
I say "yak shaving" because I'm being generous. Getting hopelessly and utterly sidetracked by pointless things might be just as accurate a description.
https://jerkytreats…

Quietly Going Insane With Tools & Automation
As a programmer, I sometimes go a bit off the deep end.

Getting Saturated with Induction
M\'arton Hajdu, Petra Hozzov\'a, Laura Kov\'acs, Giles Reger, Andrei Voronkov
https://arxiv.org/abs/2402.18954

Getting Saturated with Induction
Induction in saturation-based first-order theorem proving is a new exciting direction in the automation of inductive reasoning. In this paper we survey our work on integrating induction directly into the saturation-based proof search framework of first-order theorem proving. We describe our induction inference rules proving properties with inductively defined datatypes and integers. We also present additional reasoning heuristics for strengthening inductive reasoning, as well as for using induc…

2024 Home Sweet Home Automation: Spray Bottle Turret Silences Barking
https://poliverso.org/display/0477a01e-d88ad30a-95fd0183047e98e7
2024 Home Sweet Home Automation: Spray Bottle Turret Silences Barking Ah, dogs. They sure like to bark, don’t they…

This https://arxiv.org/abs/2402.00905 has been replaced.
link: https://scholar.google.com/scholar?q=a

Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
Context: The rapid evolution of Large Language Models (LLMs) has sparked significant interest in leveraging their capabilities for automating code review processes. Prior studies often focus on developing LLMs for code review automation, yet require expensive resources, which is infeasible for organizations with limited budgets and resources. Thus, fine-tuning and prompt engineering are the two common approaches to leveraging LLMs for code review automation. Objective: We aim to investigate the…

A conversation about automating key lights for meetings, combined with me reviewing some of the “tech things to try” on my Someday list, led to me trying out Hammerspoon, the Lua-based Mac automation tool.
A couple hours later I have much nicer light automation and Zoom mute state tools than I ever had with applescripts and shell scripts! Should’ve looked at this ages ago.

dotfiles/home/.hammerspoon/ZoomMuteState.lua at master · wlonkly/dotfiles
Contribute to wlonkly/dotfiles development by creating an account on GitHub.

Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay
Gyupil Kam, Kiseop Chung
https://arxiv.org/abs/2404.01683 https://arxi…

Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay
The Internet of Things (IoT) is a communication scheme which allows various objects to exchange several types of information, enabling functions such as home automation, production management, healthcare, etc. Moreover, energy-harvesting (EH) technology is considered for IoT environment in order to reduce the need for management and enhance maintainability. However, since environments considering outdoor elements such as pedestrians, vehicles and drones have been on the rise recently, it is imp…

Generate Code Into Separate Files With the T4.FileManager #T4 #automation #dotNet

Generate Code Into Separate Files With the T4.FileManager - Improve & Repeat
With the T4.FileManager we can generate classes with T4 templates and put them into their own files – a much missed feature in T4 templates.

#KiCAD 8 ist jetzt stable: https://www.kicad.org/download/

This https://arxiv.org/abs/2403.07257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models
Within the Electronic Design Automation (EDA) domain, AI-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an AI4EDA approach falls short of achieving a holistic design synthesis and understanding, overlo…

Generative.
—@… https://ethanmarcotte.com/wrote/generative/
A collection of quotes on automation and artificial intelligence.

This https://arxiv.org/abs/2404.17818 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Automatic Build Repair for Test Cases using Incompatible Java Versions
Context: Bug bisection is a common technique used to identify a revision that introduces a bug or indirectly fixes a bug, and often involves executing multiple revisions of a project to determine whether the bug is present within the revision. However, many legacy revisions often cannot be successfully compiled due to changes in the programming language or tools used in the compilation process, adding complexity and preventing automation in the bisection process. Objective: In this paper, we …

An interview with Aaron Levie about Box's acquisition of Crooze, as Box embraces the content management industry's shift toward AI and workflow automation (Ron Miller/TechCrunch)
https://techcrunch.com/2024/03/16/aaron-levie-box-workflow-automatio…

Aaron Levie leads Box into its third era focused on workflow automation and AI | TechCrunch
The content management industry is shifting from pure management to AI and workflow automation to put the content to work.

@… Unless they don’t have any automation set up to delete those messages… maybe it’s really a plea from a marketing team who doesn’t want to upset IT about their mailboxes growing out of control.

This https://arxiv.org/abs/2310.02424 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

AXNav: Replaying Accessibility Tests from Natural Language
Developers and quality assurance testers often rely on manual testing to test accessibility features throughout the product lifecycle. Unfortunately, manual testing can be tedious, often has an overwhelming scope, and can be difficult to schedule amongst other development milestones. Recently, Large Language Models (LLMs) have been used for a variety of tasks including automation of UIs, however to our knowledge no one has yet explored their use in controlling assistive technologies for the pur…

This https://arxiv.org/abs/2403.10576 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
Cybersecurity information is often technically complex and relayed through unstructured text, making automation of cyber threat intelligence highly challenging. For such text domains that involve high levels of expertise, pretraining on in-domain corpora has been a popular method for language models to obtain domain expertise. However, cybersecurity texts often contain non-linguistic elements (such as URLs and hash values) that could be unsuitable with the established pretraining methodologies.…

Who was it who said that the time to develop an automation hack should not be more than the time it would take to do the task manually? Douglas Adams?
Anyway, just breaking this rule yet again, by a factor of 10 (and counting …)

This https://arxiv.org/abs/2403.00111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

A compendium and evaluation of taxonomy quality attributes
Introduction: Taxonomies capture knowledge about a particular domain in a succinct manner and establish a common understanding among peers. Researchers use taxonomies to convey information about a particular knowledge area or to support automation tasks, and practitioners use them to enable communication beyond organizational boundaries. Aims: Despite this important role of taxonomies in software engineering, their quality is seldom evaluated. Our aim is to identify and define taxonomy quality …

2022 retro-link! https://blog.apnic.net/2022/03/08/authenticated-bootstrapping-of-dnssec-delegations/ - Authenticated bootstrapping of DNSSEC delegations.

A nice graph from a Finnish report published today showing what #SmartCharging means: shifting the actual charging of an #EV to cheaper times - on average four hours later. It's stress-free for the user, good for the wallet and good for the grid, thanks to the automation provided by smart charg…

Autonomous LLM-driven research from data to human-verifiable research papers
Tal Ifargan, Lukas Hafner, Maor Kern, Ori Alcalay, Roy Kishony
https://arxiv.org/abs/2404.17605 https://arxiv.org/pdf/2404.17605
arXiv:2404.17605v1 Announce Type: new
Abstract: As AI promises to accelerate scientific discovery, it remains unclear whether fully AI-driven research is possible and whether it can adhere to key scientific values, such as transparency, traceability and verifiability. Mimicking human scientific practices, we built data-to-paper, an automation platform that guides interacting LLM agents through a complete stepwise research process, while programmatically back-tracing information flow and allowing human oversight and interactions. In autopilot mode, provided with annotated data alone, data-to-paper raised hypotheses, designed research plans, wrote and debugged analysis codes, generated and interpreted results, and created complete and information-traceable research papers. Even though research novelty was relatively limited, the process demonstrated autonomous generation of de novo quantitative insights from data. For simple research goals, a fully-autonomous cycle can create manuscripts which recapitulate peer-reviewed publications without major errors in about 80-90%, yet as goal complexity increases, human co-piloting becomes critical for assuring accuracy. Beyond the process itself, created manuscripts too are inherently verifiable, as information-tracing allows to programmatically chain results, methods and data. Our work thereby demonstrates a potential for AI-driven acceleration of scientific discovery while enhancing, rather than jeopardizing, traceability, transparency and verifiability.

Standardise, Simplify, Automate – In That Order! #automation
https://improveandrepeat.com/2024/03/standardise-simplify-automate-in-that-order/

Standardise, Simplify, Automate – In That Order! - Improve & Repeat
If we want to succeed with an automation project, it is important that we do the right steps in the right order. Let's explore why.

Garage Door Automation With No Extra Hardware
https://poliverso.org/display/0477a01e-c385cf79-880592d3beb391dd
Garage Door Automation With No Extra Hardware Home automation projects have been popular as long as microcontrollers have been available t…

This https://arxiv.org/abs/2402.00905 has been replaced.
link: https://scholar.google.com/scholar?q=a

Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
Context: The rapid evolution of Large Language Models (LLMs) has sparked significant interest in leveraging their capabilities for automating code review processes. Prior studies often focus on developing LLMs for code review automation, yet require expensive resources, which is infeasible for organizations with limited budgets and resources. Thus, fine-tuning and prompt engineering are the two common approaches to leveraging LLMs for code review automation. Objective: We aim to investigate the…

This https://arxiv.org/abs/2401.14831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations
Machine Vision (MV) is essential for solving driving automation. This paper examines potential shortcomings in current MV testing strategies for highly automated driving (HAD) systems. We argue for a more comprehensive understanding of the performance factors that must be considered during the MV evaluation process, noting that neglecting these factors can lead to significant risks. This is not only relevant to MV component testing, but also to integration testing. To illustrate this point, we …

This https://arxiv.org/abs/2403.10576 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
Cybersecurity information is often technically complex and relayed through unstructured text, making automation of cyber threat intelligence highly challenging. For such text domains that involve high levels of expertise, pretraining on in-domain corpora has been a popular method for language models to obtain domain expertise. However, cybersecurity texts often contain non-linguistic elements (such as URLs and hash values) that could be unsuitable with the established pretraining methodologies.…

SafeBase, which helps companies automate software security reviews using AI, raised a $33M Series B led by Touring Capital, bringing its total funding to $50M (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2024/04/30/safebase-taps-ai-to…

Exclusive: SafeBase taps AI to automate software security reviews
Security review automation platform SafeBase has raised new cash from investors including Zoom's corporate VC arm.

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…

EDA-Driven Preprocessing for SAT Solving
Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
https://arxiv.org/abs/2403.19446

EDA-Driven Preprocessing for SAT Solving
Effective formulation of problems into Conjunctive Normal Form (CNF) is critical in modern Boolean Satisfiability (SAT) solving for optimizing solver performance. Addressing the limitations of existing methods, our Electronic Design Automation (EDA)-driven preprocessing framework introduces a novel methodology for preparing SAT instances, leveraging both circuit and CNF formats for enhanced flexibility and efficiency. Central to our approach is the integration of a new logic synthesis technique…

Development of a Chinese Human-Automation Trust Scale
Zixin Cui, Xiangling Zhuang, Seul Chan Lee, Jieun Lee, Xintong Li, Makoto Itoh
https://arxiv.org/abs/2403.16406

Development of a Chinese Human-Automation Trust Scale
The development of a reliable and valid assessment tool of human-automation trust is an important topic. This study aimed to develop a Chinese version of human-automation trust scale (C-HATS) with reasonable reliability and validity based on Lee and See (2004)'s trust model. After three phases of assessments including exploratory factor analysis, item analysis, and confirmatory factor analysis, different dimensions and items were considered for initial and posttask human-automation trust. For p…

Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
Pablo Fondo-Ferreiro, David Candal-Ventureira, Francisco Javier Gonz\'alez-Casta\~no, Felipe Gil-Casti\~neira
https://arxiv.org/abs/2403.19730

Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Pla…

🥁 I present to you…my small & humble Monday morning automation: “Automated Random Wisdom Bits” https://alpo.gitlab.io/jots/posts/2024/04/random-wisdom-bits/

This https://arxiv.org/abs/2312.16438 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
Anchor-bolt insertion is a peg-in-hole task performed in the construction field for holes in concrete. Efforts have been made to automate this task, but the variable lighting and hole surface conditions, as well as the requirements for short setup and task execution time make the automation challenging. In this study, we introduce a vision and proprioceptive data-driven robot control model for this task that is robust to challenging lighting and hole surface conditions. This model consists of a…

To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
Nicolas Scharowski, Sebastian A. C. Perrig, Lena Fanya Aeschbach, Nick von Felten, Klaus Opwis, Philipp Wintersberger, Florian Br\"uhlmann
https://arxiv.org/abs/2403.00582

To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
Despite the importance of trust in human-AI interactions, researchers must adopt questionnaires from other disciplines that lack validation in the AI context. Motivated by the need for reliable and valid measures, we investigated the psychometric quality of two trust questionnaires, the Trust between People and Automation scale (TPA) by Jian et al. (2000) and the Trust Scale for the AI Context (TAI) by Hoffman et al. (2023). In a pre-registered online experiment (N = 1485), participants observe…

Alla scoperta del SOAR: Security Orchestration, Automation and Response
https://poliverso.org/display/0477a01e-4da24d82-2a758a06a4047513
Alla scoperta del SOAR: Security Orchestration, Automation and Response Negli ultimi anni, il mondo della cybers…

EDA-Driven Preprocessing for SAT Solving
Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
https://arxiv.org/abs/2403.19446

EDA-Driven Preprocessing for SAT Solving
Effective formulation of problems into Conjunctive Normal Form (CNF) is critical in modern Boolean Satisfiability (SAT) solving for optimizing solver performance. Addressing the limitations of existing methods, our Electronic Design Automation (EDA)-driven preprocessing framework introduces a novel methodology for preparing SAT instances, leveraging both circuit and CNF formats for enhanced flexibility and efficiency. Central to our approach is the integration of a new logic synthesis technique…

A compendium and evaluation of taxonomy quality attributes
Michael Unterkalmsteiner, Waleed Adbeen
https://arxiv.org/abs/2403.00111 https://

A compendium and evaluation of taxonomy quality attributes
Introduction: Taxonomies capture knowledge about a particular domain in a succinct manner and establish a common understanding among peers. Researchers use taxonomies to convey information about a particular knowledge area or to support automation tasks, and practitioners use them to enable communication beyond organizational boundaries. Aims: Despite this important role of taxonomies in software engineering, their quality is seldom evaluated. Our aim is to identify and define taxonomy quality …

Automate Code Generation With #T4 Templates #automation #dotNet

Automate Code Generation With T4 Templates - Improve & Repeat
Let us explore how we can use C# and the Text Template Transformation Toolkit to generate code on Windows, Mac, and Linux.

PermitFlow, which develops end-to-end workflow and automation software for construction permitting, raised a $31M Series A led by Kleiner Perkins (Mary Ann Azevedo/TechCrunch)
https://techcrunch.com/2024/02/21/this-…

This YC alum just raised $31M to build the ‘TurboTax for construction permitting’ | TechCrunch
PermitFlow, which has built construction permitting software, has raised $30.8 million in Series A funding led by Kleiner Perkins.

Embodied Supervision: Haptic Display of Automation Command to Improve Supervisory Performance
Alia Gilbert, Sachit Krishnan, R. Brent Gillespie
https://arxiv.org/abs/2402.18707

Embodied Supervision: Haptic Display of Automation Command to Improve Supervisory Performance
A human operator using a manual control interface has ready access to their own command signal, both by efference copy and proprioception. In contrast, a human supervisor typically relies on visual information alone. We propose supplying a supervisor with a copy of the operators command signal, hypothesizing improved performance, especially when that copy is provided through haptic display. We experimentally compared haptic with visual access to the command signal, quantifying the performance o…

This https://arxiv.org/abs/2312.16438 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
Anchor-bolt insertion is a peg-in-hole task performed in the construction field for holes in concrete. Efforts have been made to automate this task, but the variable lighting and hole surface conditions, as well as the requirements for short setup and task execution time make the automation challenging. In this study, we introduce a vision and proprioceptive data-driven robot control model for this task that is robust to challenging lighting and hole surface conditions. This model consists of a…

Ansible Lightspeed: A Code Generation Service for IT Automation
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Gebhardt, Louis Mandel, Luca Buratti
https://arxiv.org/abs/2402.17442

Ansible Lightspeed: A Code Generation Service for IT Automation
The availability of Large Language Models (LLMs) which can generate code, has made it possible to create tools that improve developer productivity. Integrated development environments or IDEs which developers use to write software are often used as an interface to interact with LLMs. Although many such tools have been released, almost all of them focus on general-purpose programming languages. Domain-specific languages, such as those crucial for IT automation, have not received much attention. …

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
Vincent J. Straub, Youmna Hashem, Jonathan Bright, Satyam Bhagwanani, Deborah Morgan, John Francis, Saba Esnaashari, Helen Margetts
https://arxiv.org/abs/2403.14712

AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through the automation of complex but repetitive bureaucratic tasks, freeing up the time of skilled staff. Here, we explore the size of this opportunity, by mapping out the scale of citizen-facing bureaucratic decision-making procedures within UK central government, and measuring their potential for AI-driven automation. We estimate that UK central g…

Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality
Muhammad Sajjad Ansar, Bilal Farooq
https://arxiv.org/abs/2402.16046

Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality
The safe transition from conditional automation to manual driving control is significantly intertwined with the vehicle's lateral and longitudinal dynamics. The transition may occur as a result of a system-initiated mandatory takeover (MTOR) or as a driver-initiated discretionary takeover (DTOR). In either condition, the takeover process entails differing cognitive demands and may affect the driving behaviour differently. This study analyzes driving stability and perceived mental workload in 30…

This https://arxiv.org/abs/2305.18607 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

How Effective Are Neural Networks for Fixing Security Vulnerabilities
Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of techniques have shown promise: (1) large code language models (LLMs) that have been pre-trained on source code for tasks such as code completion, and (2) automated program repair (APR) techniques that use deep learning (DL) models to automatically fix software bugs. This paper is the first to study and compare Java vulnerability repair capabilities of LLMs and DL-based APR models. The contribut…

This https://arxiv.org/abs/2310.09669 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Framework For Automated Dissection Along Tissue Boundary
Robotic surgery promises enhanced precision and adaptability over traditional surgical methods. It also offers the possibility of automating surgical interventions, resulting in reduced stress on the surgeon, better surgical outcomes, and lower costs. Cholecystectomy, the removal of the gallbladder, serves as an ideal model procedure for automation due to its distinct and well-contrasted anatomical features between the gallbladder and liver, along with standardized surgical maneuvers. Dissectio…

Simplify the Work as Much as Possible Before You Automate It #automation
https://improveandrepeat.com/2024/04/simplify-the-work-a…

Simplify the Work as Much as Possible Before You Automate It - Improve & Repeat
Before we automate a process, we should check that all unnecessary steps are removed. Otherwise, the automation will be a costly activity.

Rethinking Legal Compliance Automation: Opportunities with Large Language Models
Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot, Jain Liao
https://arxiv.org/abs/2404.14356

Rethinking Legal Compliance Automation: Opportunities with Large Language Models
As software-intensive systems face growing pressure to comply with laws and regulations, providing automated support for compliance analysis has become paramount. Despite advances in the Requirements Engineering (RE) community on legal compliance analysis, important obstacles remain in developing accurate and generalizable compliance automation solutions. This paper highlights some observed limitations of current approaches and examines how adopting new automation strategies that leverage Large…

Automate the Repetitive Work #automation
https://improveandrepeat.com/2024/04/automate-the-repetitive-work/

Automate the Repetitive Work - Improve & Repeat
When we automate the code generation, we will face a new set of challenges. Let us explore the obstacles ahead.

This https://arxiv.org/abs/2402.16542 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboGrind, an integrated system for the intuitive, interactive automation of surface treatment tasks with industrial robots. It combines a sophisticated 3D perception pipeline for surface scanning and automatic defect identification, an interactive voice-controlled wizard system for the AI-assisted bootstrapping and parame…

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Shanthi Karpurapu, Sravanthy Myneni, Unnati Nettur, Likhit Sagar Gajja, Dave Burke, Tom Stiehm, Jeffery Payne
https://arxiv.org/abs/2403.14965

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Behavior-driven development (BDD) is an Agile testing methodology fostering collaboration among developers, QA analysts, and stakeholders. In this manuscript, we propose a novel approach to enhance BDD practices using large language models (LLMs) to automate acceptance test generation. Our study uses zero and few-shot prompts to evaluate LLMs such as GPT-3.5, GPT-4, Llama-2-13B, and PaLM-2. The paper presents a detailed methodology that includes the dataset, prompt techniques, LLMs, and the eva…

Toward Improving Binary Program Comprehension via Embodied Immersion: A Survey
Dennis Brown, Emily Mulder, Samuel Mulder
https://arxiv.org/abs/2404.17051 h…

Toward Improving Binary Program Comprehension via Embodied Immersion: A Survey
Binary program comprehension is critical for many use cases but is difficult, suffering from compounded uncertainty and lack of full automation. We seek methods to improve the effectiveness of the human-machine joint cognitive system performing binary PC. We survey three research areas to perform an indirect cognitive task analysis: cognitive models of the PC process, related elements of cognitive theory, and applicable affordances of virtual reality. Based on common elements in these areas, we…

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Shanthi Karpurapu, Sravanthy Myneni, Unnati Nettur, Likhit Sagar Gajja, Dave Burke, Tom Stiehm, Jeffery Payne
https://arxiv.org/abs/2403.14965

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
Behavior-driven development (BDD) is an Agile testing methodology fostering collaboration among developers, QA analysts, and stakeholders. In this manuscript, we propose a novel approach to enhance BDD practices using large language models (LLMs) to automate acceptance test generation. Our study uses zero and few-shot prompts to evaluate LLMs such as GPT-3.5, GPT-4, Llama-2-13B, and PaLM-2. The paper presents a detailed methodology that includes the dataset, prompt techniques, LLMs, and the eva…

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging
Hongcheng Guo, Wei Zhang, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang
https://arxiv.org/abs/2402.18205

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging
Logs produced by extensive software systems are integral to monitoring system behaviors. Advanced log analysis facilitates the detection, alerting, and diagnosis of system faults. Log parsing, which entails transforming raw log messages into structured templates, constitutes a critical phase in the automation of log analytics. Existing log parsers fail to identify the correct templates due to reliance on human-made rules. Besides, These methods focus on statistical features while ignoring seman…

This https://arxiv.org/abs/2402.16977 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Dealing with Data for RE: Mitigating Challenges using NLP and Generative AI
Across the dynamic business landscape today, enterprises face an ever-increasing range of challenges. These include the constantly evolving regulatory environment, the growing demand for personalization within software applications, and the heightened emphasis on governance. In response to these multifaceted demands, large enterprises have been adopting automation that spans from the optimization of core business processes to the enhancement of customer experiences. Indeed, Artificial Intellige…

Dealing with Data for RE: Mitigating Challenges using NLP and Generative AI
Smita Ghaisas, Anmol Singhal
https://arxiv.org/abs/2402.16977 https://

Dealing with Data for RE: Mitigating Challenges using NLP and Generative AI
Across the dynamic business landscape today, enterprises face an ever-increasing range of challenges. These include the constantly evolving regulatory environment, the growing demand for personalization within software applications, and the heightened emphasis on governance. In response to these multifaceted demands, large enterprises have been adopting automation that spans from the optimization of core business processes to the enhancement of customer experiences. Indeed, Artificial Intellige…

This https://arxiv.org/abs/2312.01921 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Machine Learning Approach Towards SKILL Code Autocompletion
As Moore's Law continues to increase the complexity of electronic systems, Electronic Design Automation (EDA) must advance to meet global demand. An important example of an EDA technology is SKILL, a scripting language used to customize and extend EDA software. Recently, code generation models using the transformer architecture have achieved impressive results in academic settings and have even been used in commercial developer tools to improve developer productivity. To the best of our knowled…