Lightweight Semantic Conflict Detection with Static Analysis.

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Bibliographic Details
Title: Lightweight Semantic Conflict Detection with Static Analysis.
Authors: De Jesus, Galileu Santos1 gsj@cin.ufpe.br, Borba, Paulo1 phmb@cin.ufpe.br, Bonifácio, Rodrigo2 rbonifacio@unb.br, De Oliveira, Matheus Barbosa1 mbo2@cin.ufpe.br
Source: ICSE: International Conference on Software Engineering. 2024, p343-345. 3p.
Subjects: Revision control (Computer science), Computer software developers, Configuration management, Semantics, Software engineering
Abstract: Version control system tools empower developers to independently work on their development tasks. These tools also facilitate the integration of changes through merging operations, and report textual conflicts. However, during the integration of changes, developers might encounter other types of conflicts that are not detected by current merge tools. In this paper, we focus on dynamic semantic conflicts, which occur when merging reports no textual conflicts but results in undesired interference---causing unexpected program behavior at runtime. To address this issue, we propose a technique that explores the use of static analysis to detect interference when merging contributions from two developers. We evaluate our technique using a dataset of 99 experimental units extracted from merge scenarios. The results provide evidence that our technique presents significant interference detection capability (F1 Score of 0.50 and Accuracy of 0.60). [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Version control system tools empower developers to independently work on their development tasks. These tools also facilitate the integration of changes through merging operations, and report textual conflicts. However, during the integration of changes, developers might encounter other types of conflicts that are not detected by current merge tools. In this paper, we focus on dynamic semantic conflicts, which occur when merging reports no textual conflicts but results in undesired interference---causing unexpected program behavior at runtime. To address this issue, we propose a technique that explores the use of static analysis to detect interference when merging contributions from two developers. We evaluate our technique using a dataset of 99 experimental units extracted from merge scenarios. The results provide evidence that our technique presents significant interference detection capability (F1 Score of 0.50 and Accuracy of 0.60). [ABSTRACT FROM AUTHOR]
DOI:10.1145/3639478.3643118