Summarizing software artifacts a case study of bug reports

Many software artifacts are created, maintained and evolved as part of a software development project. As software developers work on a project, they interact with existing project artifacts, performing such activities as reading previously filed bug reports in search of duplicate reports. These act...

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Vydáno v:2010 ACM/IEEE 32nd International Conference on Software Engineering Ročník 1; s. 505 - 514
Hlavní autoři: Rastkar, Sarah, Murphy, Gail C., Murray, Gabriel
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 01.05.2010
IEEE
Edice:ACM Conferences
Témata:
Computer bugs
Electromagnetic compatibility
Electronic mail
General and reference > Cross-computing tools and techniques > Metrics
human-centric software engineering
Humans
machine learning
Programming
Software
Training
human-centric software engineering
machine learning
ISBN:9781605587196, 1605587192
ISSN:0270-5257
On-line přístup:Získat plný text
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Shrnutí:Many software artifacts are created, maintained and evolved as part of a software development project. As software developers work on a project, they interact with existing project artifacts, performing such activities as reading previously filed bug reports in search of duplicate reports. These activities often require a developer to peruse a substantial amount of text. In this paper, we investigate whether it is possible to summarize software artifacts automatically and effectively so that developers could consult smaller summaries instead of entire artifacts. To provide focus to our investigation, we consider the generation of summaries for bug reports. We found that existing conversation-based generators can produce better results than random generators and that a generator trained specifically on bug reports can perform statistically better than existing conversation-based generators. We demonstrate that humans also find these generated summaries reasonable indicating that summaries might be used effectively for many tasks.
ISBN:9781605587196
1605587192
ISSN:0270-5257
DOI:10.1145/1806799.1806872