The 14th International Conference on Mining Software Repositories (ICSE-NIER '17)
Link to Published Version
Journal or Book Title
Proceedings of the 39th International Conference on Software Engineering: New Ideas and Emerging Results Track
May 20-28, 2017
Buenos Aires, Argentina
Ultra-large-scale mining has been shown to be useful for a number of software engineering tasks e.g. mining specifications, defect prediction. We propose a new research direction for accelerating ultra-large-scale mining that goes beyond parallelization. Our key idea is to analyze the interaction pattern between the mining task and the artifact to cluster artifacts such that running the mining task on one candidate artifact from each cluster is sufficient to produce results for other artifacts in the same cluster. Our artifact clustering criteria go beyond syntactic, semantic, and functional similarities to mining-task-specific similarity, where the interaction pattern between the mining task and the artifact is used for clustering. Our preliminary evaluation demonstrates that our technique significantly reduces the overall mining time.
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Upadhyaya, Ganesha and Rajan, Hridesh, "On accelerating ultra-large-scale mining" (2017). Computer Science Conference Presentations, Posters and Proceedings. 18.