Large language models (LLMs) are increasingly able to flag poor algorithm choices in existing code, a step beyond their current role as coding assistants, according to Derek M. Jones, author of the Sh…
A study by Gu, Han, Kim and Zhang found that call-chain neighbourhood information significantly improves fault prediction in software systems. Analyzing four systems (HTTPClient, Jackrabbit, Lucene, a…
Researchers replicated the classic 1986 Knight/Leveson N-version programming experiment using LLM-generated code, finding that coding mistakes remain correlated across implementations even when genera…
LLMs are shifting from vibe-coding to specification-based programming, where human input is via specifications that generate code. This approach enables controlled, repeatable software creation, with …
Researchers applied the Bass diffusion model to estimate the lifecycle of open-source projects by fitting monthly developer contributions and extrapolating future activity. The model's use of the hype…