Change Propagation Path: An Approach for Detecting Co-Changes Among Software Entities
Author:
Affiliation:
1. Computer Science Department, University of Benghazi, Libya
2. Information System Department, University of Benghazi, Libya
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3492547.3492629
Reference32 articles.
1. Hassan A.E. and Holt R.C. 2006. Replaying development history to assess the effectiveness of change propagation tools. Empirical Software Engineering 11(3) pp.335-367. Hassan A.E. and Holt R.C. 2006. Replaying development history to assess the effectiveness of change propagation tools. Empirical Software Engineering 11(3) pp.335-367.
2. Wiese I.S. Ré R. Steinmacher I. Kuroda R.T. Oliva G.A. Treude C. and Gerosa M.A. 2017. Using contextual information to predict co-changes. Journal of Systems and Software 128 pp.220-235. Wiese I.S. Ré R. Steinmacher I. Kuroda R.T. Oliva G.A. Treude C. and Gerosa M.A. 2017. Using contextual information to predict co-changes. Journal of Systems and Software 128 pp.220-235.
3. Han J. Kamber M. and Pei J. 2011. Data mining concepts and techniques third edition. The Morgan Kaufmann Series in Data Management Systems pp.83-124. Han J. Kamber M. and Pei J. 2011. Data mining concepts and techniques third edition. The Morgan Kaufmann Series in Data Management Systems pp.83-124.
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