Mining software engineering data

Ahmed E. Hassan, Tao Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Software engineering data (such as code bases, execution traces, historical code changes, mailing lists, and bug databases) contains a wealth of information about a project's status, progress, and evolution. Using well-established data mining techniques, practitioners and researchers have started exploring the potential of this valuable data in order to better manage their projects and to produce higher quality software systems that are delivered on time and within budget. This tutorial presents the latest research in mining software engineering data, discusses challenges associated with mining software engineering data, highlights success stories of mining software engineering data, and outlines future research directions. Attendees will acquire the knowledge and skills needed to integrate the mining of software engineering data in their own research or practice. This tutorial builds on several successful offerings at ICSE since 2007.

Original languageEnglish (US)
Title of host publicationICSE 2010 - Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering
Pages503-504
Number of pages2
DOIs
StatePublished - Jul 23 2010
Externally publishedYes
Event32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010 - Cape Town, South Africa
Duration: May 1 2010May 8 2010

Publication series

NameProceedings - International Conference on Software Engineering
Volume2
ISSN (Print)0270-5257

Other

Other32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
Country/TerritorySouth Africa
CityCape Town
Period5/1/105/8/10

Keywords

  • mining software engineering data
  • mining software repositories

ASJC Scopus subject areas

  • Software

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