Tootfinder

Non Technical Debt in Agile Software Development
Muhammad Ovais Ahmad, Tomas Gustavsson
https://arxiv.org/abs/2509.01445 https://arxiv.org/pdf/2509.01445…

Non Technical Debt in Agile Software Development
NonTechnical Debt (NTD) is a common challenge in agile software development, manifesting in four critical forms, Process Debt, Social Debt, People Debt, Organizational debt. NODLA project is a collaboration between Karlstad University and four leading Swedish industrial partners, reveals how various debt types disrupt large scale Agile Software Development (ASD) environments. Through extensive surveys, indepth interviews, and statistical analyses involving a diverse group of software profession…

What is "good taste" in software engineering?
https://www.seangoedecke.com/taste/

Trey Hendrickson trade rumor from Adam Schefter offers Cowboys, Eagles, 49ers renewed hope https://www.sportingnews.com/us/nfl/dallas-cowboys/news/trey-hendrickson-trade-rumor-adam-schefte…

High-quality Tungsten-doped Vanadium Dioxide Thin Films Fabricated in an Extremely Low-oxygen Furnace Environment
Vishwa Krishna Rajan, Ken Araki, Robert Y. Wang, Liping Wang
https://arxiv.org/abs/2509.01956

High-quality Tungsten-doped Vanadium Dioxide Thin Films Fabricated in an Extremely Low-oxygen Furnace Environment
This work reports the fabrication and characterization of high-quality tungsten-doped vanadium dioxide (WxV1-xO2, x = 0~3 at. %) by thermal oxidation of sputtered tungsten-vanadium alloyed thin films with different atomic percentages and high-temperature annealing in an extremely low oxygen atmosphere (5 to 20 ppm) along with reduction of surface over-oxides in high vacuum (1 mPa). Oxidation parameters such as temperature, time and nitrogen purging rate are first optimized for obtaining high qu…

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…

Partner with the AI, throw away the code
https://martinfowler.com/articles/exploring-gen-ai/partner-with-ai-and-throw-away-the-code.html

"So the next time you find yourself asking why you're being inundated with AI wherever you go, remember that the answer is that someone with millions of dollars to spare paid for it on the off chance that it will yield a nice return."
(Original title: a16z Is Funding a 'Speedrun' to AI-Generated Hell on Earth)

a16z Is Funding a 'Speedrun' to AI-Generated Hell on Earth
Do you want ‘AI-powered social orbits,’ ‘autonomous recruiting firms,’ and an ‘AI-powered credit card?’ Too bad, you’re getting them anyway.

When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
Shuqing Li, Chenran Zhang, Binchang Li, Cuiyun Gao, Michael R. Lyu
https://arxiv.org/abs/2510.01182

When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
Multi-user Extended Reality (XR) systems enable transformative shared experiences but introduce unique software defects that compromise user experience. Understanding software defects in multi-user XR systems is crucial for enhancing system reliability, yet remains underexplored. To fill the gap, this paper presents the first large-scale empirical study of multi-user XR defects, analyzing 2,649 real-world bug reports from diverse sources, including developer forums, GitHub repositories, and app…

Pogocache: #OpenSource #Caching Software with Low Latency and Multiple Wire Protocols
https://www.infoq.com/news/2025/08/pog…

Large Language Models for Software Testing: A Research Roadmap
Cristian Augusto, Antonia Bertolino, Guglielmo De Angelis, Francesca Lonetti, Jes\'us Mor\'an
https://arxiv.org/abs/2509.25043

Large Language Models for Software Testing: A Research Roadmap
Large Language Models (LLMs) are starting to be profiled as one of the most significant disruptions in the Software Testing field. Specifically, they have been successfully applied in software testing tasks such as generating test code, or summarizing documentation. This potential has attracted hundreds of researchers, resulting in dozens of new contributions every month, hardening researchers to stay at the forefront of the wave. Still, to the best of our knowledge, no prior work has pro…