Tweaking Association Rules to Optimize Software Change Recommendations-Reference-Cited by-同舟云学术

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Tweaking Association Rules to Optimize Software Change Recommendations

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st Brazilian Symposium on Software Engineering - SBES'17
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Author:

Wessel Mairieli Santos¹,Aniche Maurício Finavaro²,Oliva Gustavo Ansaldi³,Gerosa Marco Aurélio⁴,Wiese Igor Scaliante¹

Affiliation:

1. Universidade Tecnológica Federal do Paraná (UTFPR), Campo Mourão, Paraná, Brasil

2. Delft University of Technology, Delft, South Holland, The Netherlands

3. Queen's University, Kingston, Ontario, Canada

4. Northern Arizona University, Flagstaff, Arizona, United States

Publisher

ACM Press

Reference29 articles.

1. R. Agrawal, T. Imieliński, and A. Swami. 1993. Mining Association Rules Between Sets of Items in Large Databases. SIGMOD Rec. 22, 2 (June 1993), 207--216.

2. G. Bavota, B. Dit, R. Oliveto, M. Di Penta, D. Poshyvanyk, and A. De Lucia. 2013. An Empirical Study on the Developers' Perception of Software Coupling. In Proceedings of the 2013 International Conference on Software Engineering (ICSE '13). IEEE Press, Piscataway, NJ, USA, 692--701.

3. G. Canfora, M. Ceccarelli, L. Cerulo, and M. Di Penta. 2010. Using multivariate time series and association rules to detect logical change coupling: An empirical study. In IEEE International Conference on Software Maintenance, ICSM.

4. F. Colares, J. Souza, R. Carmo, C. Pádua, and G. R. Mateus. 2009. A New Approach to the Software Release Planning. In 2009 XXIII Brazilian Symposium on Software Engineering. 207--215.

5. B. Dit, M. Wagner, S. Wen, W. Wang, M. Linares-Vásquez, D. Poshyvanyk, and H. Kagdi. 2014. ImpactMiner: A Tool for Change Impact Analysis. In Companion Proceedings of the 36th International Conference on Software Engineering (ICSE Companion 2014). ACM, New York, NY, USA, 540--543.

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