ACM Transactions on Software Engineering and Methodology

Papers
(The H4-Index of ACM Transactions on Software Engineering and Methodology is 37. 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
Finding Information Leaks with Information Flow Fuzzing—RCR Report354
An empirical study on vulnerability disclosure management of open source software systems199
Mutant Reduction Evaluation: What is There and What is Missing?137
Automatic Identification of Game Stuttering via Gameplay Videos Analysis128
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures94
Reusing d-DNNFs for Efficient Feature-Model Counting93
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization85
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing85
M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection84
Preference-wise Testing of Android Apps via Test Amplification78
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval76
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures76
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation76
A Survey on Failure Analysis and Fault Injection in AI Systems72
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal67
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs65
KAPE: k NN-based Performance Testing for Deep Code Search64
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task62
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders56
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features56
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines55
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor54
History-Driven Fuzzing for Deep Learning Libraries53
Assessing the Robustness of Test Selection Methods for Deep Neural Networks53
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation51
Communicating Study Design Trade-offs in Software Engineering51
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It50
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages50
An Empirical Study on Governance in Bitcoin’s Consensus Evolution47
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection47
Deep API Sequence Generation via Golden Solution Samples and API Seeds45
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example43
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions41
PVDetector: Pretrained Vulnerability Detection on Vulnerability-enriched Code Semantic Graph41
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report40
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes39
FAVDisco: Modeling and Discovering File Access Vulnerabilities37
Help Them Understand: Testing and Improving Voice User Interfaces37
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