6 papers
DRS-OSS: A Diff-Risk Scoring Tool for Continuous Integration Workflows
Ali Sayedsalehi, Peter C. Rigby, Audris Mockus
Software teams need change-risk scores that can guide continuous integration decisions such as review prioritization, test scheduling, and downstream validation before risky change…
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders
Peter C. Rigby, Seth Rogers, Sadruddin Saleem +5
The code review team at Meta is continuously improving the code review process. To evaluate the new recommenders, we conduct three A/B tests which are a type of randomized controll…
Scientific Open-Source Software Is Less Likely to Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software
Addi Malviya Thakur, Reed Milewicz, Mahmoud Jahanshahi +3
Scientific software is essential to scientific innovation and in many ways it is distinct from other types of software. Abandoned (or unmaintained), buggy, and hard to use software…
Code Improvement Practices at Meta
Audris Mockus, Peter C Rigby, Rui Abreu +20
The focus on rapid software delivery inevitably results in the accumulation of technical debt, which, in turn, affects quality and slows future development. Yet, companies with a l…
OSS License Identification at Scale: A Comprehensive Dataset Using World of Code
Mahmoud Jahanshahi, David Reid, Adam McDaniel +1
The proliferation of open source software (OSS) and different types of reuse has made it incredibly difficult to perform an essential legal and compliance task of accurate license…
Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets
Mahmoud Jahanshahi, Audris Mockus
A critical part of creating code suggestion systems is the pre-training of Large Language Models on vast amounts of source code and natural language text, often of questionable ori…