
2025-07-30 10:00:00
from my link log —
Emulating aarch64 in software using JIT compilation and Rust.
https://pitsidianak.is/blog/posts/2025-08-25_emulating_aarch64_in_software_using_JIT_compilation.html
saved 2025-08-26
»Software-Entwickler trauen KI nicht:
Die grosse Mehrheit der Entwickler nutzt mittlerweile KI bei der Programmierarbeit. Trotzdem sind die Coderinnen und Coder skeptisch, ob sie den Algorithmen wirklich trauen können.«
An was könnte dies wohl liegen, evt. weil die auch ein wenig Erfahrung mit Software haben und nicht gleich jegliches Marketing Propaganda glauben?!??
🤦
🏳️🌈 Commodore 64 Ultimate is a new FPGA-based computer that should be compatible with most classic C64 games and software
https://liliputing.com/commodore-64-ultimate-is-a-new-fpga-based-computer-t…
Excite Audio and KSHMR team up for South Asian-inspired software instrument based on authentic recordings https://www.musicradar.com/music-tech/exci…
Using Generative AI in Software Design Education: An Experience Report
Victoria Jackson, Susannah Liu, Andre van der Hoek
https://arxiv.org/abs/2506.21703 …
Boston-based cloud cost management startup CloudZero raised a $56M Series C led by BlueCrest Capital Management and Innovius Capital (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2025/05/…
Today I drafted a writeup on multicall binaries:
https://github.com/orangecms/multicall/
Feedback is welcome, any additional pointers etc. - feel free to open issues/PRs or reply right here. :)
DEQSE Quantum IDE Extension: Integrated Tool for Quantum Software Engineering
Majid Haghparast, Ronja Heikkinen, Samuel Ovaskainen, Julian Fuchs, Jussi P P Jokinen, Tommi Mikkonen
https://arxiv.org/abs/2507.22843
It’s a bummer this bundle ends before my PyCon UK keynote (~mild spoiler~), but why don’t y’all get these 25 books on software architecture just in case?
(OF COURSE it has Architecture Patterns with Python)
https://www.humblebundle.com/books/software-archite…
jung: JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6120 nodes and 138706 edges.
Tags: Technological, Software, Unweighted
Palantir Software ist nicht nur ein Problem, weil es so "in die Hände der AfD fallen könnte". Sie ist ein Problem, weil sie demokratische Grundsätze Computationalismus unterordnet. Auch ohne Faschisten im Parlament wäre die Anschaffung unwürdig und zu bekämpfen.
GollumFit - An #IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses: https://arxiv.org/abs/2506.04491 -> An open-source software for neutrino telescope analyses: https://icecube.wisc.edu/news/research/2025/07/gollumfit-an-open-source-software-for-neutrino-telescope-analyses/
Vista Equity Partners agrees to acquire ERP software provider Acumatica from PE firm EQT, sources say in a deal that values Acumatica at ~$2B including debt (Bloomberg)
https://www.bloomberg.com/news/articles/2025-0…
Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.
In 2011, I posted to our forums to explain "Why not Windows?" Our goal is not to make the most money; it's to make the best software that we can make. There are other successful platforms, but I don' t think our software would be better on any of them.
Since 2011 we've moved to different forums and the hardware hosting our archived forums died. Maybe someday I'll revive it from backups, but in the meantime it's nice that the Internet Archive still has a co…
MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
Ruiyin Li, Yiran Zhang, Xiyu Zhou, Peng Liang, Weisong Sun, Jifeng Xuan, Zhi Jin, Yang Liu
https://arxiv.org/abs/2507.21382
"What you want is not just to fix the bugs software testers catch but figure out the reasons those bugs were created and improve you process so you create fewer bugs in the future."
https://management.curiouscatblog.net/2016/05/09/softwa…
»Amazon-Entwickler am Limit – KI-Druck verwandelt Programmieren in Fließbandarbeit:
Software-Entwickler:innen bei Amazon beklagen widrige Arbeitsumstände. Sie müssen mittlerweile Code wie am Fließband schreiben. Welche Ursache dieser neue Leistungsdruck hat.«
Wenn dies nicht mehr Fehler so wie anfälligeren Code und unbehobene Probleme durch "ungebildete" Lösungen der Angestellten ergibt?
🧑💻
Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
Stefan Graser, Martin Schrepp, Stephan B\"ohm
https://arxiv.org/abs/2507.21722 …
Was able to grab and install Lagrange (for accessing Gopher/Gemini sites) here on my laptop that has Mint on it, just by searching for Lagrange in the Software Manager (gotta love Linux). Installed, launched-- and yeah, it really is a great, clean GUI. Also, you can see my Rogue desktop background 😂
#Gemini #Gopher …
A post from the archive 📫:
If LLMs Can Code, Why Are We Building More IDEs?
https://www.poppastring.com/blog/if-llms-can-code-why-are-we-building-more-ides
from my link log —
There is no software maintenance.
https://henrikwarne.com/2023/01/07/there-is-no-software-maintenance/
saved 2023-01-08
Die Grünen legen es in #BadenWürttemberg anscheinend darauf an, sich überflüssig zu machen (= sich hübsch zu machen als künftiger kleiner Koalitionspartner). Ja, man hat mehr parlamentarische Kontrolle reinverhandelt, und will eine europäische Lösung vorantreiben, aber erstmal ist die Polizei schon dabei, die
Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
Song Son Ha, Florian Foerster, Thomas Robert Doebbert, Tim Kittel, Dominik Merli, Gerd Scholl
https://arxiv.org/abs/2507.20873
I think I'll hold my $MSFT, thank you very much.
✅ Microsoft market cap tops $4 trillion after hours on earnings beat - CNBC
https://www.cnbc.com/2025/07/30/microsoft-market-cap-tops-4-trillion-after-hours-on-earnings-bea…
Scalability, Availability, Reproducibility and Extensibility in Islamic Database Systems
Umar Siddiqui, Habiba Youssef, Adel Sabour, Mohamed Ali
https://arxiv.org/abs/2507.22384
PSA: Fake verification replies are starting again. Don't fall for them. Best thing you can do is report them as SPAM to your instance and forward to any optional instances with "Fake Mastodon Verification Scam" written in the notes/comments section for the report. Make sure everyone you interact with knows this is going on. Permanent solutions to combat this scam are being implemented to tackle it by the software developers.
Take, for example, permissions. We have an onerous permission model that stops a user acting as another, but sandboxing applications is mostly absent, except on mobile devices. This is because in the 1970s, you could trust the code, but you couldn’t trust the people! Now, computers are used by individuals, and we don’t trust the software, but the model hasn’t caught up.
I think the ideas in the essays are salient and really helpful in imagining what might have been, and what could be.
Kommt noch jemand von Euch morgen in die #CyBARsecurity nach Bochum?
Würde mich freuen, mal ein paar aus der #Security Bubble im Fediverse persönlich kennen zu lernen.
PS: ich produziere übrigens seit einigen Jahren den WeTalkSecurity - ESET Podcast. Hört den jemand von Euch?
Palantir als Trojanisches Pferd in deutschen Polizeien? Während Thiel die Demokratie lieber zerstört als lebt, setzen immer mehr Bundesländer auf seine Überwachungssoftware. Thiels Software sammelt Datenmassen und erlaubt Totalüberwachung – ein Werkzeug, das Demokratie unterminiert - Das Überwachungsimperium - Wie sich die deutsche Polizei von Peter Thiels Palantir-Software abhängig macht - von Sonja Peteranderl in die @…
"Those interested in making the Universal Operating System more Universal by introducing intimate hardware control software, please consider joining the team: https://wiki.debian.org/Teams/Buttplug"
Mesh based segmentation for automated margin line generation on incisors receiving crown treatment
Ammar Alsheghri, Ying Zhang, Farnoosh Ghadiri, Julia Keren, Farida Cheriet, Francois Guibault
https://arxiv.org/abs/2507.22859
Ich hatte mich auf der #bibliocon25 noch gefragt, wann ich denn das letzte Mal in Bremen war bei einem Bibliothekartag. Beim Stöbern im BIB-OPUS habe ich die Antwort gefunden: 2014 war es und meine Präsentation hieß "Bibliotheken: Wir öffnen Daten. Zum Stand der Entwicklung einer offenen Dateninfrastruktur", siehe
Tracking research software outputs in the UK
Domhnall Carlin, Austen Rainer
https://arxiv.org/abs/2507.22871 https://arxiv.org/pdf/2507.22871
@… I've been asked this question myself from folks earlier in their career than I am, but obviously you're beyond me, so I'm curious to hear your take.
What is the most valuable skill for a software developer to acquire to ensure their success?
(I already suspect I have a hunch as to your thoughts, but if you're willing, I'd …
Dobrindt prüft Einsatz von US-Sicherheitssoftware
Die Analyse-Software des Unternehmens Palantir ist umstritten, einige Bundesländer nutzen sie. Ob sie bundesweit zum Einsatz kommt, ist noch nicht entschieden.
https://ww…
Una similitud entre Mastodon y el desarrollo del software libre en general es que hay una decena de bots que publican las tiras de XKCD
Bookmarked: Talking About Muslims in Middle French: The Potential of Word-to-Vector Models for Studying Semantic Relationships in Medieval Languages – DH Lab #Digital_Humanities
»Dein Gesicht gehört uns – Die Gefahr automatischer Gesichtserkennung:
Ein Computersystem, das sekundenschnell jeden einzelnen Menschen auf der Welt identifizieren kann: Das klingt mehr nach dem Roman «1984» von George Orwell als nach der Realität. Und doch: Die Software des US-Unternehmens Clearview AI ist schon sehr nahe daran, genau das zu schaffen.«
Wenn deren "Sicherheit" auch zur Bevölkerung Überwachung eingesetzt wird?
📺
3D Software Synthesis Guided by Constraint-Expressive Intermediate Representation
Shuqing Li, Anson Y. Lam, Yun Peng, Wenxuan Wang, Michael R. Lyu
https://arxiv.org/abs/2507.18625
When you get the option to `Sign in with Google/Microsoft/Facebook` you're really using #OAuth. Aside from those platforms knowing what you're doing everywhere all the time, there are compelling reasons for both 3rd party services and users. (not many, but a few).
But if you DO link your #Microsoft /
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/github
How (Not) To Write a Software Engineering Abstract
Lutz Prechelt, Lloyd Montgomery, Julian Frattini, Franz Zieris
https://arxiv.org/abs/2506.21634 https://…
Updates sooo smooth?! 😏 Mit einem neuen Ansatz sollen nicht nur das #Betriebssystem selbst, sondern auch alle Anwendungen, einschließlich der von Drittanbietern, regelmäßig aktualisiert werden.
Zum Artikel:
Sources and docs: a Russia-based Yandex employee maintains open-source tool fast-glob, embedded in 30 US DOD software packages and downloaded 70M times per week (David DiMolfetta/Nextgov/FCW)
https://www.nextgov.com/cybersecurity/2025…
Exploring Student-AI Interactions in Vibe Coding
Francis Geng, Anshul Shah, Haolin Li, Nawab Mulla, Steven Swanson, Gerald Soosai Raj, Daniel Zingaro, Leo Porter
https://arxiv.org/abs/2507.22614
Why Japanese Developers Write Code Completely Differently (And Why It Works Better)
https://medium.com/@sohail_saifi/why-japanese-developers-write-code-completely-differently-and-why-it-works-better-de…
A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
Sabrina Kaniewski, Fabian Schmidt, Markus Enzweiler, Michael Menth, Tobias Heer
https://arxiv.org/abs/2507.22659
»Missing Link - Machtzentrale Palantir – eine Software lenkt Organisationen:
Palantir will ein Betriebssystem für Organisationen. Was steckt technisch dahinter - und wie verändert es Strukturen und Machtverhältnisse?«
Ist dies schon digitale Diktatur der sich Fortschritt betitelt aber Mental rückständig ist? Konservatieve nutzen Hightech um sich modern mental Rückständig zu präsentieren.
🕵️
Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
Yiming Xu, Runzhi He, Hengzhi Ye, Minghui Zhou, Huaimin Wang
https://arxiv.org/abs/2507.21678 …
So people are still fudding against open source.
(FUD = Fear, Uncertainty & Doubt)
All of this applies to closed source as well (or even worse):
https://www.xda-developers.com/drawbacks-open-source-software/
Let me make that clear:
The sole…
LLM coding is the opposite of DRY
An important principle in software engineering is DRY: Don't Repeat Yourself. We recognize that having the same code copied in more than one place is bad for several reasons:
1. It makes the entire codebase harder to read.
2. It increases maintenance burden, since any problems in the duplicated code need to be solved in more than one place.
3. Because it becomes possible for the copies to drift apart if changes to one aren't transferred to the other (maybe the person making the change has forgotten there was a copy) it makes the code more error-prone and harder to debug.
All modern programming languages make it almost entirely unnecessary to repeat code: we can move the repeated code into a "function" or "module" and then reference it from all the different places it's needed. At a larger scale, someone might write an open-source "library" of such functions or modules and instead of re-implementing that functionality ourselves, we can use their code, with an acknowledgement. Using another person's library this way is complicated, because now you're dependent on them: if they stop maintaining it or introduce bugs, you've inherited a problem, but still, you could always copy their project and maintain your own version, and it would be not much more work than if you had implemented stuff yourself from the start. It's a little more complicated than this, but the basic principle holds, and it's a foundational one for software development in general and the open-source movement in particular. The network of "citations" as open-source software builds on other open-source software and people contribute patches to each others' projects is a lot of what makes the movement into a community, and it can lead to collaborations that drive further development. So the DRY principle is important at both small and large scales.
Unfortunately, the current crop of hyped-up LLM coding systems from the big players are antithetical to DRY at all scales:
- At the library scale, they train on open source software but then (with some unknown frequency) replicate parts of it line-for-line *without* any citation [1]. The person who was using the LLM has no way of knowing that this happened, or even any way to check for it. In theory the LLM company could build a system for this, but it's not likely to be profitable unless the courts actually start punishing these license violations, which doesn't seem likely based on results so far and the difficulty of finding out that the violations are happening. By creating these copies (and also mash-ups, along with lots of less-problematic stuff), the LLM users (enabled and encouraged by the LLM-peddlers) are directly undermining the DRY principle. If we see what the big AI companies claim to want, which is a massive shift towards machine-authored code, DRY at the library scale will effectively be dead, with each new project simply re-implementing the functionality it needs instead of every using a library. This might seem to have some upside, since dependency hell is a thing, but the downside in terms of comprehensibility and therefore maintainability, correctness, and security will be massive. The eventual lack of new high-quality DRY-respecting code to train the models on will only make this problem worse.
- At the module & function level, AI is probably prone to re-writing rather than re-using the functions or needs, especially with a workflow where a human prompts it for many independent completions. This part I don't have direct evidence for, since I don't use LLM coding models myself except in very specific circumstances because it's not generally ethical to do so. I do know that when it tries to call existing functions, it often guesses incorrectly about the parameters they need, which I'm sure is a headache and source of bugs for the vibe coders out there. An AI could be designed to take more context into account and use existing lookup tools to get accurate function signatures and use them when generating function calls, but even though that would probably significantly improve output quality, I suspect it's the kind of thing that would be seen as too-baroque and thus not a priority. Would love to hear I'm wrong about any of this, but I suspect the consequences are that any medium-or-larger sized codebase written with LLM tools will have significant bloat from duplicate functionality, and will have places where better use of existing libraries would have made the code simpler. At a fundamental level, a principle like DRY is not something that current LLM training techniques are able to learn, and while they can imitate it from their training sets to some degree when asked for large amounts of code, when prompted for many smaller chunks, they're asymptotically likely to violate it.
I think this is an important critique in part because it cuts against the argument that "LLMs are the modern compliers, if you reject them you're just like the people who wanted to keep hand-writing assembly code, and you'll be just as obsolete." Compilers actually represented a great win for abstraction, encapsulation, and DRY in general, and they supported and are integral to open source development, whereas LLMs are set to do the opposite.
[1] to see what this looks like in action in prose, see the example on page 30 of the NYTimes copyright complaint against OpenAI (#AI #GenAI #LLMs #VibeCoding
software_dependencies: Software dependencies (2010)
Several networks of software dependencies. Nodes represent libraries and a directed edge denotes a library dependency on another.
This network has 1040 nodes and 5363 edges.
Tags: Technological, Software, Unweighted
https://networks.skewed.d…
Fleet management software provider Motive raises $150M led by Kleiner Perkins; the company reportedly could go public by the end of 2025 (Anthony Hughes/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-30/motive-rai…
Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda
Christian Meske, Tobias Hermanns, Esther von der Weiden, Kai-Uwe Loser, Thorsten Berger
https://arxiv.org/abs/2507.21928
from my link log —
Web browser tiny monospace fonts workaround.
https://neugierig.org/software/chromium/notes/2009/09/monospace-fonts-workaround.html
saved 2025-07-23
The UK's CMA finds that Microsoft's software licensing terms harm competition in the cloud market, may open a probe into Microsoft and Amazon in 2026 (Financial Times)
https://www.ft.com/content/364036c5-524c-40ed-a9ad-cd2c969c211f
VW-Partner Rivian erhält zweite Milliarden-Spritze
Rivian soll VW helfen, seine Software-Probleme zu lösen. Dafür erhöhen die Wolfsburger jetzt ihren Anteil am Partner, der das Geld sehr gut gebrauchen kann.
…
On the Future of Software Reuse in the Era of AI Native Software Engineering
Antero Taivalsaari, Tommi Mikkonen, Cesare Pautasso
https://arxiv.org/abs/2508.19834 https://…
Palo Alto Networks has agreed to buy CyberArk Software in a cash-and-stock deal valuing the Israeli cybersecurity company at about $25B, expected to close in Q2 (Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-30/palo-alto…
Experience converting a large mathematical software package written in C to C 20 modules
Wolfgang Bangerth
https://arxiv.org/abs/2506.21654 https://
AI startup Aurasell, which aims to automate sales tools built on top of CRM software like Salesforce, emerges from stealth with $30M seed led by Next47 (Geoff Weiss/Business Insider)
https://www.businessinsider.com/ai-sales-startup-aurasell-raise…
Einige der zuletzt hier besonders häufig geteilten #News:
Koalitionszoff um Palantir-Software für Polizei
https://www.
Machine Learning Experiences: A story of learning AI for use in enterprise software testing that can be used by anyone
Michael Cohoon, Debbie Furman
https://arxiv.org/abs/2507.22064
Figma priced its US IPO at $33 per share, above its expected range of $30 to $32, raising $1.2B in the offering and valuing the company at $19.3B (Jordan Novet/CNBC)
https://www.cnbc.com/2025/07/30/figma-prices-ipo-at-33-above-expected-range.html
Metamorphic Testing of Deep Code Models: A Systematic Literature Review
Ali Asgari, Milan de Koning, Pouria Derakhshanfar, Annibale Panichella
https://arxiv.org/abs/2507.22610 h…
Figma opens at $85 on the NYSE, after selling shares at $33 in its IPO, hitting a ~$50B valuation, more than a year after Adobe's $20B failed acquisition (Jordan Novet/CNBC)
https://www.cnbc.com/2025/07/31/figma-fig-starts-trading-on-nyse-after-ipo.html
»#OpenSource-Dilemma auch in der EU – Viele sehen #Vorteil'e, zu wenige tragen bei:
Viele #EU-Organisationen sehen die Vorteile von Open-Source
Dynamics of Gender Bias in Software Engineering
Thomas J. Misa
https://arxiv.org/abs/2508.21050 https://arxiv.org/pdf/2508.21050
OpenAI is expanding its consulting-like service to refine its models and build bespoke apps for large enterprise and government clients spending at least $10M (The Information)
https://www.theinformation.com/articles/openai-takes-page…
Testing Is Not Boring: Characterizing Challenge in Software Testing Tasks
Davi Gama Hardman, Cesar Fran\c{c}a, Brody Stuart-Verner, Ronnie de Souza Santos
https://arxiv.org/abs/2507.20407
Campfire, which offers AI-powered ERP and accounting services, raised a $35M Series A led by Accel (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/30/tiny-ai-erp-startup-campfire-is-winning-s…
Distinguishing Quantum Software Bugs from Hardware Noise: A Statistical Approach
Ahmik Virani, Devraj, Anirudh Suresh, Lei Zhang, M V Panduranga Rao
https://arxiv.org/abs/2507.20475
Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Domain-Driven Design in Software Development: A Systematic Literature Review on Implementation, C...
Ozan \"Ozkan, \"Onder Babur, Mark van den Brand
What Makes ChatGPT Effective for Software Issue Resolution? An Empirical Study of Developer-ChatGPT Conversations in GitHub
Ramtin Ehsani, Sakshi Pathak, Esteban Parra, Sonia Haiduc, Preetha Chatterjee
https://arxiv.org/abs/2506.22390
Payroll and HR software provider Gusto agrees to acquire Guideline, which offers 401(k) plans to small businesses; Guideline was valued at $1.15B in 2021 (Jordan Novet/CNBC)
https://www.cnbc.com/2025/08/27/gusto-retirement-guideline-deal.html
Black-Box Bug-Amplification for Multithreaded Software
Yeshayahu Weiss, Gal Amram, Achiya Elyasaf, Eitan Farchi, Oded Margalit, Gera Weiss
https://arxiv.org/abs/2507.21318 https…
Can Large Language Models Help Students Prove Software Correctness? An Experimental Study with Dafny
Carolina Carreira, \'Alvaro Silva, Alexandre Abreu, Alexandra Mendes
https://arxiv.org/abs/2506.22370
How legacy carmakers fell behind Tesla and Chinese EV brands in software, as a Toyota Woven engineer says the company's new Arene platform is "full of bugs" (Financial Times)
https://www.ft.com/content/d5d5b7fb-30fc-4f32-86d2-7499bcc433b6
AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
Sourena Khanzadeh
https://arxiv.org/abs/2507.19902 https://
Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation
Saikat Mondal, Chanchal K. Roy
https://arxiv.org/abs/2507.21329 https://…
A profile of vibe coding startup Lovable, which became the fastest-growing software startup in history, reaching $100M in annualized revenue in eight months (Iain Martin/Forbes)
https://www.forbes.com/sites/iainmartin/20
Agentic AI for Software: thoughts from Software Engineering community
Abhik Roychoudhury
https://arxiv.org/abs/2508.17343 https://arxiv.org/pdf/2508.17343
PDLogger: Automated Logging Framework for Practical Software Development
Shengcheng Duan, Yihua Xu, Sheng Zhang, Shen Wang, Yue Duan
https://arxiv.org/abs/2507.19951 https://
AI and Agile Software Development: A Research Roadmap from the XP2025 Workshop
Zheying Zhang, Tomas Herda, Victoria Pichler, Pekka Abrahamsson, Geir K. Hanssen, Joshua Kerievsky, Alex Polyakov, Mohit Chandna, Marius Irgens, Kai-Kristian Kemell, Ayman Asad Khan, Crystal Kwok, Evan Leybourn, Munish Malik, Dorota Mleczko, Morteza Moalagh, Christopher Morales, Yuliia Pieskova, Daniel Plan\"otscher, Mika Saari, Anastasiia Tkalich, Karl Josef Gstettner, Xiaofeng Wang
VDGraph: A Graph-Theoretic Approach to Unlock Insights from SBOM and SCA Data
Howell Xia, Jonah Gluck, Sevval Simsek, David Sastre Medina, David Starobinski
https://arxiv.org/abs/2507.20502
Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study
Zhenyu Qi, Haotang Li, Hao Qin, Kebin Peng, Sen He, Xue Qin
Clean Code In Practice: Challenges and Opportunities
Dapeng Yan, Wenjie Yang, Kui Liu, Zhiming Liu, Zhikuang Cai
https://arxiv.org/abs/2507.19721 https://a…
An OpenSource CI/CD Pipeline for Variant-Rich Software-Defined Vehicles
Matthias Wei{\ss}, Anish Navalgund, Johannes St\"umpfle, Falk Dettinger, Michael Weyrich
https://arxiv.org/abs/2507.19446
SMECS: A Software Metadata Extraction and Curation Software
Stephan Ferenz, Aida Jafarbigloo, Oliver Werth, Astrid Nie{\ss}e
https://arxiv.org/abs/2507.18159 https://
Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
Tommi Mikkonen, Antero Taivalsaari
https://arxiv.org/abs/2506.17937
DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
https://arxiv.org/abs/2508.17719 https://…