Add to ORKGA total of 12 software defect data sets from NASA were used in this study, where five data sets (part I) including CM1, JM1, KC1, KC2, and PC1 are obtained from PROMISE software engineering repository (http://promise.site.uottawa.ca/SERepository/), the other seven data sets (part II) are obtained from tera-PROMISE Repository (http://openscience.us/repo/defect/mccabehalsted/)
Abstract—In this fast abstract, we provide preliminary findings an analysis of 14,500 spacecraft ano...
Abstract—Defect prediction models help software quality as-surance teams to effectively allocate the...
In software engineering, software quality is an important research area. Automated generation of le...
A total of 12 software defect data sets from NASA were used in this study,The three most widely used...
Background: The NASA Metrics Data Program data sets have been heavily used in software defect predic...
Background: The NASA Metrics Data Program data sets have been heavily used in software defect predic...
Background: The NASA metrics data program (MDP) data sets have been heavily used in software defect ...
Background--Self-evidently empirical analyses rely upon the quality of their data. Likewise, replica...
A total of 22 software defect datasets with format ARFF. AEEEM was collected by D’Ambros et al. [1]...
Background: The NASA datasets have previously been used extensively in studies of software defects. ...
Software Engineering is a branch of computer science that enables tight communication between system...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Within the scope of the case study, different ML-based models were constructed and applied on NASA d...
Abstract: During software development and maintenance, predicting software bugs becomes critical. De...
The feasibility of building a software defect prediction (SDP) model in the absence of previous reco...
Abstract—In this fast abstract, we provide preliminary findings an analysis of 14,500 spacecraft ano...
Abstract—Defect prediction models help software quality as-surance teams to effectively allocate the...
In software engineering, software quality is an important research area. Automated generation of le...
A total of 12 software defect data sets from NASA were used in this study,The three most widely used...
Background: The NASA Metrics Data Program data sets have been heavily used in software defect predic...
Background: The NASA Metrics Data Program data sets have been heavily used in software defect predic...
Background: The NASA metrics data program (MDP) data sets have been heavily used in software defect ...
Background--Self-evidently empirical analyses rely upon the quality of their data. Likewise, replica...
A total of 22 software defect datasets with format ARFF. AEEEM was collected by D’Ambros et al. [1]...
Background: The NASA datasets have previously been used extensively in studies of software defects. ...
Software Engineering is a branch of computer science that enables tight communication between system...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Within the scope of the case study, different ML-based models were constructed and applied on NASA d...
Abstract: During software development and maintenance, predicting software bugs becomes critical. De...
The feasibility of building a software defect prediction (SDP) model in the absence of previous reco...
Abstract—In this fast abstract, we provide preliminary findings an analysis of 14,500 spacecraft ano...
Abstract—Defect prediction models help software quality as-surance teams to effectively allocate the...
In software engineering, software quality is an important research area. Automated generation of le...