2019
DOI: 10.1007/s11390-019-1960-6
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Threshold Extraction Framework for Software Metrics

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Cited by 7 publications
(1 citation statement)
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“…After performing the calculations, six of the sixteen previously selected metrics were classified as of vital importance for the prediction of defects (WMC, RFC, NPM, LCOM3, MOA, and LOC). Alqmase et al (2019) proposed a framework based on the expectation maximization (EM) algorithm in which clusters are generated using a simplified set of metrics (LOC, LCOM, and CBO). The limits of the clusters are calculated by Source Code Analysis and Manipulation using statistical measures, such as mean and standard deviation.…”
Section: Software Metrics Studiesmentioning
confidence: 99%
“…After performing the calculations, six of the sixteen previously selected metrics were classified as of vital importance for the prediction of defects (WMC, RFC, NPM, LCOM3, MOA, and LOC). Alqmase et al (2019) proposed a framework based on the expectation maximization (EM) algorithm in which clusters are generated using a simplified set of metrics (LOC, LCOM, and CBO). The limits of the clusters are calculated by Source Code Analysis and Manipulation using statistical measures, such as mean and standard deviation.…”
Section: Software Metrics Studiesmentioning
confidence: 99%