Using acceptance tests to predict merge conflict risk
Author:
Funder
CNPq
FACEPE
CAPES
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-022-10266-8.pdf
Reference43 articles.
1. Accioly P, Borba P, Cavalcanti G (2017) Understanding semi-structured merge conflict characteristics in open-source java projects. Empirical Software Engineering https://doi.org/10.1007/s10664-017-9586-1
2. Adams B, McIntosh S (2016) Modern release engineering in a nutshell – why researchers should care. In: 2016 IEEE 23Rd international conference on software analysis, evolution, and reengineering (SANER), vol 5. pp 78-90
3. Ahmed I, Brindescu C, Mannan UA, Jensen C, Sarma A (2017) An empirical examination of the relationship between code smells and merge conflicts. In: 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp 58–67
4. Apel S, Liebig J, Brandl B, Lengauer C, Kästner C (2011) Semistructured merge: Rethinking merge in revision control systems. In: Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering. ESEC/FSE ’11, https://doi.org/10.1145/2025113.2025141. ACM, New York, pp 190–200
5. Apel S, Leβenich O, Lengauer C (2012) Structured merge with auto-tuning: Balancing precision and performance. In: Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering. ASE 2012, https://doi.org/10.1145/2351676.2351694. ACM, New York, pp 120–129
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