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Published in: Empirical Software Engineering 6/2013

01-12-2013 | Editorial

Introduction to the special issue on mining software repositories

Authors: Tao Xie, Thomas Zimmermann, Arie van Deursen

Published in: Empirical Software Engineering | Issue 6/2013

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Excerpt

The Mining Software Repositories field analyzes the rich data available in software repositories to uncover interesting and actionable information about software systems and projects. Thanks to the ready availability of software configuration management, mailing list, and bug tracking repositories from open source projects, it has gained popularity since 2004 with the first instance of the MSR workshop (now conference) and continues to be one of the fastest growing fields in the area of software engineering. …

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Literature
go back to reference Hassan A (2008) “The road ahead for mining software repositories,” In Frontiers of Software Maintenance, held with the 2008 I.E. International Conference on Software Maintenance, Beijing, China, pp. 48–57 Hassan A (2008) “The road ahead for mining software repositories,” In Frontiers of Software Maintenance, held with the 2008 I.E. International Conference on Software Maintenance, Beijing, China, pp. 48–57
go back to reference Kagdi HH, Collard ML, Maletic JI (2007) A survey and taxonomy of approaches for mining software repositories in the context of software evolution. J Softw Maint 19(2):77–131CrossRef Kagdi HH, Collard ML, Maletic JI (2007) A survey and taxonomy of approaches for mining software repositories in the context of software evolution. J Softw Maint 19(2):77–131CrossRef
go back to reference May T (2009) The new know: innovation powered by analytics. Wiley May T (2009) The new know: innovation powered by analytics. Wiley
Metadata
Title
Introduction to the special issue on mining software repositories
Authors
Tao Xie
Thomas Zimmermann
Arie van Deursen
Publication date
01-12-2013
Publisher
Springer US
Published in
Empirical Software Engineering / Issue 6/2013
Print ISSN: 1382-3256
Electronic ISSN: 1573-7616
DOI
https://doi.org/10.1007/s10664-013-9273-9

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