On the Prediction of Software Merge Conflicts: A Systematic Review and Meta-analysis

Author:

Graeff César Augusto1ORCID,Farias Kleinner1ORCID,Carbonera Carlos Eduardo1ORCID

Affiliation:

1. Unisinos, Brazil

Publisher

ACM

Reference40 articles.

1. Paola et  al . Accioly . 2018 . Analyzing Conflict Predictors in Open-Source Java Projects. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR). 576–586 . Paola et al. Accioly. 2018. Analyzing Conflict Predictors in Open-Source Java Projects. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR). 576–586.

2. Ritu et  al . Arora . 2020 . Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration . In Proceedings of the 3rd International Conference on Software Engineering and Information Management. 105–109 . Ritu et al. Arora. 2020. Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration. In Proceedings of the 3rd International Conference on Software Engineering and Information Management. 105–109.

3. FASTDash

4. An empirical investigation into merge conflicts and their effect on software quality

5. Caius et  al . Brindescu . 2020 . Planning for Untangling: Predicting the Difficulty of Merge Conflicts. In 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE). 801–811 . Caius et al. Brindescu. 2020. Planning for Untangling: Predicting the Difficulty of Merge Conflicts. In 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE). 801–811.

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