Details

Autor(en) / Beteiligte

• Chaparro, Oscar
• Bernal-Cárdenas, Carlos
• Lu, Jing
• Moran, Kevin
• Marcus, Andrian
• Di Penta, Massimiliano
• Poshyvanyk, Denys
• Ng, Vincent

Titel

Assessing the quality of the steps to reproduce in bug reports

Ist Teil von

• Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019, p.86-96

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2019

Quelle

ACM Digital Library

Beschreibungen/Notizen

• A major problem with user-written bug reports, indicated by developers and documented by researchers, is the (lack of high) quality of the reported steps to reproduce the bugs. Low-quality steps to reproduce lead to excessive manual effort spent on bug triage and resolution. This paper proposes Euler, an approach that automatically identifies and assesses the quality of the steps to reproduce in a bug report, providing feedback to the reporters, which they can use to improve the bug report. The feedback provided by Euler was assessed by external evaluators and the results indicate that Euler correctly identified 98% of the existing steps to reproduce and 58% of the missing ones, while 73% of its quality annotations are correct.