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Cross-Project Defect Prediction
The challenge of CPDP methods is the distribution difference between the data from different projects. Transfer learning can transfer the knowledge...
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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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An empirical evaluation of defect prediction approaches in within-project and cross-project context
The software defect prediction approaches are evaluated, in within-project context only, with only a few other approaches, according to distinct...
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Cross-project defect prediction via semantic and syntactic encoding
Cross-Project Defect Prediction (CPDP) is a promising research field that focuses on detecting defects in projects with limited labeled data by...
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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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Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction
Success in software projects is now an important challenge. The main focus of the engineering community is to predict software defects based on the...
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Improving transfer learning for software cross-project defect prediction
Software cross-project defect prediction (CPDP) makes use of cross-project (CP) data to overcome the lack of data necessary to train well-performing...
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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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An Empirical Study on Multi-source Cross-Project Defect Prediction Using Machine Learning
Ensuring the quality of the software is an uncompromisable part of software development. With the availability of historical data from various...
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SMAN2: Soft-Max Multilayer Adversarial Neural Network-Based Cross-Project Software Defect Prediction
Cross-project software defect prediction (CPSDP) is an excessive way to enhance test performance and ensure software reliability. The CPSDP allows...
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FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction
Context:Just-in-time defect prediction (JITDP) leverages modern machine learning models to predict the defect-proneness of commits. Such models...
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Ensemble Based-Cross Project Defect Prediction
In Software Testing, there are typically two ways to predict defects in the software—within-project defect prediction (WPDP) and cross project defect...
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An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction
Context: Just-in-time software defect prediction (JIT SDP) helps to prioritize fault-prone commits for efficient software quality assurance. As each...
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Cross-project smell-based defect prediction
Defect prediction is a technique introduced to optimize the testing phase of the software development pipeline by predicting which components in the...
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An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization
Cross-project defect prediction (CPDP) utilizes other finished projects (i.e., source project) data to predict defects of the current working...
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Effort-aware cross-project just-in-time defect prediction framework for mobile apps
As the boom of mobile devices, Android mobile apps play an irreplaceable roles in people’s daily life, which have the characteristics of frequent...
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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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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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An Improved Method for Training Data Selection for Cross-Project Defect Prediction
The selection of relevant training data significantly improves the quality of cross-project defect prediction (CPDP) process. We propose a training...
