National Key Basic Research Program of China [2018YFB1004401]; the National Natural Science Foundation of China [61972317, 61402370]
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Context: Software fault prediction has been an important research topic in the software engineering ...
This dataset is about a systematic review of unsupervised learning techniques for software defect pr...
This dataset is extracted and synthesized from 49 primary studies which related to unsupervised def...
During the last 10 years, hundreds of different defect prediction models have been published. The pe...
Software testing is the main step of detecting the faults in Software through executing it. Therefor...
Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 Int...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
During the last 10 years, hundreds of different defect prediction models have been published. The p...
Reliably predicting software defects is one of the holy grails of software engineering. Researchers ...
Detecting defects in software at the bleeding edge of a software development life cycle is vital. Id...
Predicting when and where bugs will appear in software may assist improve quality and save on softwa...
Software defect prediction research has adopted various evaluation measures to assess the performanc...
Software defect prediction is crucial used for detecting possible defects in software before they ma...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Context: Software fault prediction has been an important research topic in the software engineering ...
This dataset is about a systematic review of unsupervised learning techniques for software defect pr...
This dataset is extracted and synthesized from 49 primary studies which related to unsupervised def...
During the last 10 years, hundreds of different defect prediction models have been published. The pe...
Software testing is the main step of detecting the faults in Software through executing it. Therefor...
Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 Int...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
During the last 10 years, hundreds of different defect prediction models have been published. The p...
Reliably predicting software defects is one of the holy grails of software engineering. Researchers ...
Detecting defects in software at the bleeding edge of a software development life cycle is vital. Id...
Predicting when and where bugs will appear in software may assist improve quality and save on softwa...
Software defect prediction research has adopted various evaluation measures to assess the performanc...
Software defect prediction is crucial used for detecting possible defects in software before they ma...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Context: Software fault prediction has been an important research topic in the software engineering ...
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