JOURNAL ARTICLE

Mining software engineering data

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.

Keywords:
Computer science Software engineering Software Software quality Software mining Database Data science Quality (philosophy) Code (set theory) Code review Software evolution Software construction Software system Software development Programming language

Metrics

20
Cited By
4.18
FWCI (Field Weighted Citation Impact)
9
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software Engineering Research
Physical Sciences →  Computer Science →  Information Systems
Software Reliability and Analysis Research
Physical Sciences →  Computer Science →  Software
Software Testing and Debugging Techniques
Physical Sciences →  Computer Science →  Software

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