Mining version histories to guide software changes

We apply data mining to version histories in order to guide programmers along related changes: "Programmers who changed these functions also changed..." Given a set of existing changes, the mined association rules 1) suggest and predict likely further changes, 2) show up item coupling that...

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on software engineering Jg. 31; H. 6; S. 429 - 445
Hauptverfasser:	Zimmermann, T., Zeller, A., Weissgerber, P., Diehl, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2005 IEEE Computer Society
Schlagworte:	Archives & records Association rules classification clustering Computer programming Computer programs Computer science Computer Society configuration management Data mining distribution enhancement Environmental management Error analysis Freeware History Index Terms- Programming environments/construction tools Java Joining maintenance Open source software Predictions Programmers Programming profession Prototypes Revisions Software Software engineering Software prototyping Studies
ISSN:	0098-5589, 1939-3520
Online-Zugang:	Volltext
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