ACM Transactions on Software Engineering and Methodology

Papers
(The H4-Index of ACM Transactions on Software Engineering and Methodology is 35. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Preference-wise Testing of Android Apps via Test Amplification251
Mutant Reduction Evaluation: What is There and What is Missing?178
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization121
Reusing d-DNNFs for Efficient Feature-Model Counting113
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures95
Automatic Identification of Game Stuttering via Gameplay Videos Analysis83
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders82
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor68
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages63
KAPE: k NN-based Performance Testing for Deep Code Search61
Communicating Study Design Trade-offs in Software Engineering59
History-Driven Fuzzing for Deep Learning Libraries59
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures58
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features57
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation56
An empirical study on vulnerability disclosure management of open source software systems55
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs53
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal51
A Survey on Failure Analysis and Fault Injection in AI Systems51
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task49
Assessing the Robustness of Test Selection Methods for Deep Neural Networks49
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines47
Finding Information Leaks with Information Flow Fuzzing—RCR Report47
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing43
Introducing Interactions in Multi-Objective Optimization of Software Architectures41
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts41
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example41
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding40
Enhancing Search-based Testing with Testability Transformations for Existing APIs40
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs37
Why Do Developers Reject Refactorings in Open-Source Projects?37
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review36
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report36
An Empirical Study on Governance in Bitcoin’s Consensus Evolution35
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes35
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction35
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