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Heterogeneous Defect Prediction
Cross-company defect prediction (CCDP) learns a prediction model by using training data from one or multiple projects of a source company and then...
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Empirical validation of feature selection techniques for cross-project defect prediction
In software engineering, cross-project defect prediction is an important area in the field of defect prediction and change prediction. Software...
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Adversarial domain adaptation for cross-project defect prediction
Cross-Project Defect Prediction (CPDP) is an attractive topic for locating defects in projects with little labeled data (target projects) by using...
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Cross-Project Defect Prediction: Leveraging Knowledge Transfer for Improved Software Quality Assurance
This research paper explores cross-project defect prediction as a means to improve software quality assurance (SQA) practices. Traditionally...
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Grid Search-Optimized Artificial Neural Network for Heterogeneous Cross-Project Defect Prediction
In software engineering, the defect prediction is a crucial aspect. Every software development process aims for the removal of defects in the...
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An effective feature selection based cross-project defect prediction model for software quality improvement
Cross-project defect prediction (CPDP) involves the use of other projects (aka source projects) for training and persuasive model building for a...
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Feature Engineering to Heterogeneous Cross Software Projects Defect Prediction: A Novel Framework
Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in a target project with limited historical defect data via a defect...
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MHCPDP: multi-source heterogeneous cross-project defect prediction via multi-source transfer learning and autoencoder
Heterogeneous cross-project defect prediction (HCPDP) is aimed at building a defect prediction model for the target project by reusing datasets from...
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Data sampling and kernel manifold discriminant alignment for mixed-project heterogeneous defect prediction
Heterogeneous defect prediction (HDP) refers to identifying more likely defect-proneness of software modules in a target project using heterogeneous...
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Software defect prediction based on nested-stacking and heterogeneous feature selection
Software testing guarantees the delivery of high-quality software products, and software defect prediction (SDP) has become an important part of...
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An extended study on applicability and performance of homogeneous cross-project defect prediction approaches under homogeneous cross-company effort estimation situation
Software effort estimation (SEE) models have been studied for decades. One of serious but typical situations for data-oriented models is the...
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Handling Class Imbalance Problem in Heterogeneous Cross-Project Defect Prediction
Software Defect Prediction (SDP) is one of the key tasks in the testing phase of Software Development Life Cycle (SDLC) that discovers modules that...
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Unsupervised Learning to Heterogeneous Cross Software Projects Defect Prediction
Heterogeneous Cross-Project Defect Prediction (HCPDP) aims to predict defects with insufficient historical defect data in a target project through a...
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Software defect prediction: future directions and challenges
Software defect prediction is one of the most popular research topics in software engineering. The objective of defect prediction is to identify...
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Defect prediction model using transfer learning
Software defect prediction (SDP) plays an important role in new research areas of software engineering. Cross-project defect prediction (CPDP)...
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Development of Homogenous Cross-Project Defect Prediction Model Using Artificial Neural Network
Defect prediction is an extremely new software quality assurance study field. A project team’s goal is to provide a high-quality product with no or...
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Enhancing Security and Performance of Software Defect Prediction Models: A Literature Review
There have recently been many advances in software defect prediction (SDP). Just-in-time defect prediction (JIT), heterogeneous defect prediction...
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Software defect prediction using global and local models
There are certain crucial areas that require attention in the field of software defect prediction, even after extensive research. One of these issues...
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Cross project defect prediction: a comprehensive survey with its SWOT analysis
Software fault prediction (SFP) refers to the process of identifying (or predicting) faulty modules based on its characteristics/software metrics....
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Is deep learning good enough for software defect prediction?
Due to high impact of internet technology and rapid change in software systems, it has been a tough challenge for us to detect software defects with...
