3 papers
cs.SE2026
BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg
Serkan Kirbas, Federica Sarro, David Williams
As software in industry grows in size and complexity, so does the volume of engineering data that companies generate and use. Ideally, this data could be used for many purposes, in…
cs.SE2026
Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques
David Williams, Ioakim Avraam, Aldeida Aleti +3
Automated Program Repair (APR) can reduce the time developers spend debugging, allowing them to focus on other aspects of software development. Automatically generated bug patches…
cs.SE2025
Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection
David Williams, Max Hort, Maria Kechagia +3
Software Engineering (SE) research involving the use of Large Language Models (LLMs) has introduced several new challenges related to rigour in benchmarking, contamination, replica…