Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach

Mouna Dhaouadi; Bentley James Oakes; Michalis Famelis

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arXiv · 2311.03358

Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach

Mouna Dhaouadi·Bentley James Oakes·Michalis Famelis

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Abstract

Extracting rationale information from commit messages allows developers to better understand a system and its past development. Here we present our ongoing work on the Kantara end-to-end rationale reconstruction pipeline to a) structure rationale information in an ontologically-based knowledge graph, b) extract and classify this information from commits, and c) produce analysis reports and visualizations for developers. We also present our work on creating a labelled dataset for our running example of the Out-of-Memory component of the Linux kernel. This dataset is used as ground truth for our evaluation of NLP classification techniques which show promising results, especially the multi-classification technique XGBoost.

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BibTeX RIS

Mouna Dhaouadi, Bentley James Oakes, Michalis Famelis. 2023-09-04. Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach. https://arxiv.org/abs/2311.03358

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