Codebook discovering and exploiting relationships in software repositories

Large-scale software engineering requires communication and collaboration to successfully build and ship products. We conducted a survey with Microsoft engineers on inter-team coordination and found that the most impactful problems concerned finding and keeping track of other engineers. Since engine...

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Vydáno v:2010 ACM/IEEE 32nd International Conference on Software Engineering Ročník 1; s. 125 - 134
Hlavní autoři: Begel, Andrew, Khoo, Yit Phang, Zimmermann, Thomas
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 01.05.2010
IEEE
Edice:ACM Conferences
Témata:
Computer bugs
Crawlers
Electronic mail
Human-centered computing > Interaction design > Interaction design process and methods > User centered design
inter-team coordination
knowledge management
mining software repositories
Programming
regular expression
regular language reachability
Servers
Social and professional topics > Professional topics > Management of computing and information systems > Project and people management
social networking
Software
inter-team coordination
regular expression
regular language reachability
social networking
knowledge management
mining software repositories
ISBN:9781605587196, 1605587192
ISSN:0270-5257
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Popis
Shrnutí:Large-scale software engineering requires communication and collaboration to successfully build and ship products. We conducted a survey with Microsoft engineers on inter-team coordination and found that the most impactful problems concerned finding and keeping track of other engineers. Since engineers are connected by their shared work, a tool that discovers connections in their work-related repositories can help. Here we describe the Codebook framework for mining software repositories. It is flexible enough to address all of the problems identified by our survey with a single data structure (graph of people and artifacts) and a single algorithm (regular language reachability). Codebook handles a larger variety of problems than prior work, analyzes more kinds of work artifacts, and can be customized by and for end-users. To evaluate our framework's flexibility, we built two applications, Hoozizat and Deep Intellisense. We evaluated these applications with engineers to show effectiveness in addressing multiple inter-team coordination problems.
ISBN:9781605587196
1605587192
ISSN:0270-5257
DOI:10.1145/1806799.1806821