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Test case prioritization based on fault sensitivity analysis using ranked NSGA-2
This paper discusses regression testing in software maintenance, focusing on test case prioritization to verify modifications to software...
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Optimizing test case prioritization through ranked NSGA-2 for enhanced fault sensitivity analysis
Regression testing is a type of software testing that is performed during software maintenance in order to validate any additional modifications made...
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Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement
Regression testing is an important activity that aims to provide information about the quality of the software product under test when changes occur....
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Comparative study of machine learning test case prioritization for continuous integration testing
There is a growing body of research indicating the potential of machine learning to tackle complex software testing challenges. One such challenge...
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Test case prioritization using test case diversification and fault-proneness estimations
Regression testing activities greatly reduce the risk of faulty software release. However, the size of the test suites grows throughout the...
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A Regression Test Case Prioritization Framework for Software Sustainability
In software development, test cases are stored for later use, such as retesting or regression testing. Optimization is one of the approaches used in...
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Test case prioritization using a Hybrid Chaotic Flower-fruit fly optimization algorithm with multiple objectives
The research aims to resolve the challenges faced in traditional Test Case Prioritization(TCP) techniques and the need to enhance the efficiency of...
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Multi-objective Black-Box Test Case Prioritization Based on Wordnet Distances
Test case prioritization techniques have emerged as effective strategies to optimize this process and mitigate the regression testing costs....
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Lessons learned from replicating a study on information-retrieval-based test case prioritization
Replication studies help solidify and extend knowledge by evaluating previous studies’ findings. Software engineering literature showed that too few...
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CGWO: An Improved Grey Wolf Optimization Technique for Test Case Prioritization
AbstractThe convergence rate has been widely accepted as a performance measure for choosing a better metaheuristic algorithm. So, we propose a novel...
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ActGraph: prioritization of test cases based on deep neural network activation graph
Widespread applications of deep neural networks (DNNs) benefit from DNN testing to guarantee their quality. In the DNN testing, numerous test cases...
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Test case minimization and prioritization for regression testing using SBLA-based adaboost convolutional neural network
The software engineers retain the test cases they create for specific software for future usage. This form of test case reuse is called regression...
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A cost-effective test case selection and prioritization using hybrid battle royale-based remora optimization
Due to the reason, that many test cases in the software industry can be reused, selection and prioritizing techniques are essential during the...
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Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software
Highly-Configurable Software (HCSs) testing is usually costly, as a significant number of variants need to be tested. This becomes more problematic...
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Applying test case prioritization to software microbenchmarks
Regression testing comprises techniques which are applied during software evolution to uncover faults effectively and efficiently. While regression...
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Test case selection and prioritization using machine learning: a systematic literature review
Regression testing is an essential activity to assure that software code changes do not adversely affect existing functionalities. With the wide...
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A Learning Classifier System for Automated Test Case Prioritization and Selection
For many everyday devices, each newly released model contains more functionality. This technological advance relies heavily on software solutions of...
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DeepAbstraction++: Enhancing Test Prioritization Performance via Combined Parameterized Boxes
In artificial intelligence testing, there is an increased focus on enhancing the efficiency of test prioritization methods within deep learning...
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Model-based test case generation and prioritization: a systematic literature review
Model-based test case generation (MB-TCG) and prioritization (MB-TCP) utilize models that represent the system under test (SUT) for test generation...
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Test case reduction and SWOA optimization for distributed agile software development using regression testing
Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile...
