ACM Transactions on Software Engineering and Methodology

Papers
(The H4-Index of ACM Transactions on Software Engineering and Methodology is 39. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Finding Information Leaks with Information Flow Fuzzing—RCR Report424
Mutant Reduction Evaluation: What is There and What is Missing?214
Automatic Identification of Game Stuttering via Gameplay Videos Analysis154
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures103
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines101
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages101
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization100
History-Driven Fuzzing for Deep Learning Libraries95
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation90
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval90
KAPE: k NN-based Performance Testing for Deep Code Search88
Communicating Study Design Trade-offs in Software Engineering83
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task78
An empirical study on vulnerability disclosure management of open source software systems75
An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face72
FairGenerate: Enhancing Fairness through Synthetic Data Generation and Two-Fold Biased Labels Removal69
Preference-wise Testing of Android Apps via Test Amplification69
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing64
M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection59
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures59
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders58
Reusing d-DNNFs for Efficient Feature-Model Counting57
A Survey on Failure Analysis and Fault Injection in AI Systems57
Assessing the Robustness of Test Selection Methods for Deep Neural Networks57
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation56
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features55
FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMs52
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor52
An Empirical Study on Governance in Bitcoin’s Consensus Evolution49
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It49
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions46
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review45
FormatFuzzer : Effective Fuzzing of Binary File Formats44
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts44
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments44
A Survey of Learning-based Automated Program Repair44
Enhancing Security and Acuity of Smart Contract Vulnerability Detection based on Federated Learning and BiLSTM-Attention41
Deep API Sequence Generation via Golden Solution Samples and API Seeds41
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs40
PVDetector: Pretrained Vulnerability Detection on Vulnerability-enriched Code Semantic Graph39
FAVDisco: Modeling and Discovering File Access Vulnerabilities39
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement39
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach39
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