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Extracting Corrective Actions from Code Repositories
Conference proceeding   Open access

Extracting Corrective Actions from Code Repositories

Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Firas Jolha, Artem Kruglov, Giancarlo Succi, Witold Pedrycz and IEEE Comp Soc
2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), pp.687-688
05/2022
DOI: https://doi.org/10.1145/3524842.3528517

Abstract

anomaly Codes Computer bugs corrective action Data mining information retrieval project management repository Software Software metrics
Simple detection of bugs, defects or anomalies during software development is not enough - it is necessary to apply corrective actions to eliminate them. To find out whether an anomaly exists in any software, we can measure the quality attributes using software metrics. The main goal of this paper was to find out and explain how to meaningfully attribute metrics to useful corrective actions.
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https://doi.org/10.1145/3524842.3528517View
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