This dataset is extracted and synthesized from 49 primary studies which related to unsupervised defect prediction published between January 2000 and March 2018 and satisfied our inclusion criteria. It contains 2456 individual experimental results. We use this dataset to conduct a comparison study between supervised and unsupervised defect prediciton techniques
Abstract - Software Defect Prediction is a scientific methods which is used to predict errors, bugs ...
An important goal during the cycle of software development is to find and fix existing defects as ea...
Software defect prediction is the process of locating defective modules in software. Software qualit...
This dataset is about a systematic review of unsupervised learning techniques for software defect pr...
National Key Basic Research Program of China [2018YFB1004401]; the National Natural Science Foundati...
Detecting defects in software at the bleeding edge of a software development life cycle is vital. Id...
This is a reproduction package of MUSDP for peer review, and double blind review
This is a collection of defect datasets for the software engineering research community. This collec...
This dataset consists of a list of data that have been extracted from selected primary studies and i...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Supplementary material for "Industrial Applications of Software Defect Prediction using Machine Lear...
Recent advances in the domain of software defect prediction (SDP) include the integration of multipl...
Context: Software defect prediction is a trending research topic, and a wide variety of the publishe...
Abstract—Software defect prediction strives to improve software quality and testing efficiency by co...
Software defect prediction is an activity that aims at narrowing down the most likely defect-prone s...
Abstract - Software Defect Prediction is a scientific methods which is used to predict errors, bugs ...
An important goal during the cycle of software development is to find and fix existing defects as ea...
Software defect prediction is the process of locating defective modules in software. Software qualit...
This dataset is about a systematic review of unsupervised learning techniques for software defect pr...
National Key Basic Research Program of China [2018YFB1004401]; the National Natural Science Foundati...
Detecting defects in software at the bleeding edge of a software development life cycle is vital. Id...
This is a reproduction package of MUSDP for peer review, and double blind review
This is a collection of defect datasets for the software engineering research community. This collec...
This dataset consists of a list of data that have been extracted from selected primary studies and i...
Software defect prediction strives to improve software quality and testing efficiency by constructin...
Supplementary material for "Industrial Applications of Software Defect Prediction using Machine Lear...
Recent advances in the domain of software defect prediction (SDP) include the integration of multipl...
Context: Software defect prediction is a trending research topic, and a wide variety of the publishe...
Abstract—Software defect prediction strives to improve software quality and testing efficiency by co...
Software defect prediction is an activity that aims at narrowing down the most likely defect-prone s...
Abstract - Software Defect Prediction is a scientific methods which is used to predict errors, bugs ...
An important goal during the cycle of software development is to find and fix existing defects as ea...
Software defect prediction is the process of locating defective modules in software. Software qualit...