Mining version histories to guide software changes

被引：279

作者：

Zimmermann, T ^{[1
]}

Weissgerber, P ^{[1
]}

Diehl, S ^{[1
]}

Zeller, A ^{[1
]}

机构：

[1] Univ Saarland, D-6600 Saarbrucken, Germany

来源：

ICSE 2004: 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/ICSE.2004.1317478

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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, such rules (a) suggest and predict likely further changes, (b) show up item coupling that is indetectable by program analysis, and (c) prevent errors due to incomplete changes. After an initial change, our ROSE prototype can correctly predict 26% of further files to be changed-and 15% of the precise functions or variables. The topmost three suggestions contain a correct location with a likelihood of 64%.

引用

页码：563 / 572

页数：10

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