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Empirical Software Engineering

Erschienen in:

01.06.2009

Visual querying and analysis of large software repositories

verfasst von: Lucian Voinea, Alexandru Telea

Erschienen in: Empirical Software Engineering | Ausgabe 3/2009

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Abstract

We present a software framework for mining software repositories. Our extensible framework enables the integration of data extraction from repositories with data analysis and interactive visualization. We demonstrate the applicability of the framework by presenting several case studies performed on industry-size software repositories. In each study we use the framework to give answers to one or several software engineering questions addressing a specific project. Next, we validate the answers by comparing them with existing project documentation, by interviewing domain experts and by detailed analyses of the source code. The results show that our framework can be used both for supporting case studies on mining software repository techniques and for building end-user tools for software maintenance support.

Vorheriger Artikel Toward an understanding of bug fix patterns

Nächster Artikel On guiding the augmentation of an automated test suite via mutation analysis

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The entire project contains more than 850 versions, but we were only interested analyzing a subperiod of its entire evolution that covered these versions.

The CVSgrab tool produces full-color visualizations. These have been converted to grayscale for printing purposes.

The mediator makes it possible to couple CVSgrab visualizations with both CVS and Subversion repository data.

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Titel: Visual querying and analysis of large software repositories
verfasst von: Lucian Voinea
Alexandru Telea
Publikationsdatum: 01.06.2009
Verlag: Springer US
Erschienen in: Empirical Software Engineering / Ausgabe 3/2009
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI: https://doi.org/10.1007/s10664-008-9068-6

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Weitere Artikel der Ausgabe 3/2009

Macro-level software evolution: a case study of a large software compilation

Toward an understanding of bug fix patterns

On guiding the augmentation of an automated test suite via mutation analysis

Guest editors introduction: special issue on mining software repositories

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