Aims: We examine two such metrics in this context: dep- degree (DD) proposed by Beyer and Fararooy and a new data flow metric called dep-degree density (DDD).
Jul 10, 2024 · Approach: We investigate the significance of DD and DDD within Software Defect Prediction (SDP) models. Through correlation analysis, we assess ...
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Data flow coverage criteria are widely used in software testing, but there is almost no research on low-level data flow metrics as software defect predictors.
Data flow coverage criteria are widely used in software testing, but there is almost no research on low-level data flow metrics as software defect predictors.
Enhancing Software Defect Prediction: Exploring the Predictive Power of Two Data Flow Metrics ... metrics and bug prediction. Article. Full-text available.
Objectives: Within this context, we explore two such metrics - dep-degree (DD), as proposed by Beyer and Fararooy, and a novel data flow metric named dep-degree ...
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Datasets and scripts for the ENASE2023 publication "Predictive Power of Two Data Flow Metrics in Software Defect Prediction" - GitHub ...
Apr 25, 2023 · Our study shows that some recently proposed data flow metrics can help improve the accuracy of Software Defect Prediction models.
May 19, 2024 · Predictive Power of Two Data Flow Metrics in Software Defect Prediction. ENASE 2023: 114-125. [c2]. view. electronic edition via DOI ...