Software Testing Verification & Reliability

Papers
(The median citation count of Software Testing Verification & Reliability is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
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Fault tolerance and metamorphic relation prediction14
Research on hyper‐level of hyper‐heuristic framework for MOTCP12
MG+: Towards Efficient Context Inconsistency Detection by Minimized Link Generation10
Farewell after an 11‐year journey as joint editor‐in‐chief10
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In vivo testing and integration of proving and testing8
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Search‐Based MC/DC Test Data Generation With OCL Constraints8
Combinatorial testing and model‐based testing7
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Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines6
Configuration Testing of an Artificial Pancreas System Using a Digital Twin: An Evaluative Case Study6
Tempus: An Evolutionary Mutation Testing System on Event‐Based Systems With Profile‐Based Individual Generation5
Combinatorial methods for dynamic gray‐box SQL injection testing5
Fuzz testing for digital TV receivers and multitasking control software verification5
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Metamorphic relation prioritization for effective regression testing4
IEEE International Conference on Software Testing, Verification and Validation (ICST 2020)4
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Boosting Multimode Ruling in DHR Architecture With Metamorphic Relations3
High‐coverage metamorphic testing of concurrency support in C compilers3
DNN Testing, Regression Testing and Software Reliability Prediction3
Integration testing and metamorphic testing3
PSC‐SBFL: Combining PSC With SBFL to Improve Software Fault Localization3
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Model‐based testing3
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Mutation‐Guided Metamorphic Testing of Optimality in AI Planning3
Automated black‐box testing of nominal and error scenarios in RESTful APIs3
SafeNet: Towards mitigating replaceable unsafe Rust code via a recommendation‐based approach3
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On subsumption relationships in data flow testing2
Mutation testing optimisations using the Clang front‐end2
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Model‐based testing, test case prioritization and testing of virtual reality applications2
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Improving Web Element Localization by Using a Large Language Model2
Comprehensive evaluation of file systems robustness with SPIN model checking2
Perception simplex: Verifiable collision avoidance in autonomous vehicles amidst obstacle detection faults1
MRGS‐ART: Metamorphic Relation and Group Selection Based on Adaptive Random Testing1
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MetaSem: metamorphic testing based on semantic information of autonomous driving scenes1
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Mutation analysis and its industrial applications1
A fuzzing‐based test‐creation approach for evaluating digital TV receivers via transport streams1
MuFBDTester: A mutation‐based test sequence generator for FBD programs implementing nuclear power plant software1
Automated Game Testing With Online Search Agent and Model Construction, a Study1
Delta4Ms: Improving mutation‐based fault localization by eliminating mutant bias1
Combinatorial testing and machine learning for automated test generation1
DialTest‐EA: An Enhanced Fuzzing Approach With Energy Adjustment for Dialogue Systems via Metamorphic Testing1
RVprio: A tool for prioritizing runtime verification violations1
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Deep neural network supervision and data flow testing1
JUGE: An infrastructure for benchmarking Java unit test generators1
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HOTFUZ: Cost‐effective higher‐order mutation‐based fault localization0
Generation of Regression Tests From Logs With Clustering Guided by Usage Patterns0
In vivo test and rollback of Java applications as they are0
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MFLog: Log Sequence Anomaly Detection via Multifeature Extraction0
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Test code evolution and mutation testing0
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Test environments for large‐scale software systems—An industrial study of intrinsic and extrinsic success factors0
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Mutation analysis and its industrial applications0
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Coloured Petri nets for abstract test generation in software engineering0
A Systematic Mapping Study of the Metrics, Uses and Subjects of Diversity‐Based Testing Techniques0
MUPPAAL: Efficient Elimination and Reduction of Useless Mutants in Real‐Time Model‐Based Systems0
The progress, challenges, and perspectives of directed greybox fuzzing0
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The integration of machine learning into automated test generation: A systematic mapping study0
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Multigranularity Coverage Criteria for Deep Learning Libraries0
Property generation/verification and empirical studies0
On transforming model‐based tests into code: A systematic literature review0
Quality assurance for Internet of Things and speech recognition systems0
A Systematic Exploration of Mutation‐Based Fault Localization Formulae0
An investigation of distributed computing for combinatorial testing0
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Model checking, testing and debugging0
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DSKIPP: A Prompt Method to Enhance the Reliability in LLMs for Java API Recommendation Task0
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Ensuring Syntactic Interoperability Using Consumer‐Driven Contract Testing0
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Improving test automation maturity: A multivocal literature review0
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Tensor‐based gated graph neural network for automatic vulnerability detection in source code0
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Boosting Metamorphic Relation Prediction via Code Representation Learning: An Empirical Study0
Test infrastructure and environment0
Software Reliability Prediction by Adaptive Gated Recurrent Unit‐Based Encoder‐Decoder Model With Ensemble Empirical Mode Decomposition0
Semantic‐aware two‐phase test case prioritization for continuous integration0
Bud hunting with directed fuzz testing and source code vulnerability detection with advanced graph neural networks0
A failed proof can yield a useful test0
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Fostering the diversity of exploratory testing in web applications0
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Test case prioritization and mutation testing0
Tracing Service Request Processing in Cloud0
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RATE: A model‐based testing approach that combines model refinement and test execution0
Scenario‐Driven Metamorphic Testing for Autonomous Driving Simulators0
Metamorphic testing and test automation0
Towards using coupling measures to guide black‐box integration testing in component‐based systems0
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SegTest: Metamorphic Testing of Image Segmentation via Guided Instance‐Level Test Data Augmentation0
TRANSMUT‐Spark: Transformation mutation for Apache Spark0
Metamorphic Testing on Scientific Programs for Solving Second‐Order Elliptic Differential Equations0
A mapping study on mutation testing for mobile applications0
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Metamorphic Relation Patterns for Metamorphic Testing, Exploration and Robustness0
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Adversarial example‐based test case generation for black‐box speech recognition systems0
A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations0
OS‐in‐the‐Loop verification for multi‐tasking control software0
A Comprehensive Formal Specification of ARINC 653 With Conformity Proof0
Ensuring the Correctness and Reliability of CBPS System Using Event‐B0
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Unsafe code detection in Rust and metamorphic testing of autonomous driving systems0
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HiRAM: A hierarchical risk assessment model and its implementation for an industrial Internet of Things in the cloud0
A mutation framework for evaluating security analysis tools in IoT applications0
Combinatorial methods for testing Internet of Things smart home systems0
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Metamorphic Testing and Web Element Localization0
Exploiting deep reinforcement learning and metamorphic testing to automatically test virtual reality applications0
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Towards automatically identifying the co‐change of production and test code0
Investigating the impact of transient hardware faults on deep learning neural network inference0
A Literature Review of Software Testing Practices and Frameworks in the Video Gaming Industry0
Enhancing Mutation Testing Efficiency: A Comparative Study of Machine Learning Models for Equivalent Mutant Identification0
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Combinatorial testing and model checking0
Exploring the Interaction of Code Coverage and Non‐Coverage Objectives in Search‐Based Test Generation0
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Validity Matters: Uncertainty‐Guided Testing of Deep Neural Networks0
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Effective grey‐box testing with partial FSM models0
Investigating fault injection techniques in hardware‐based deep neural networks and mutation‐based fault localization0
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