ACM Transactions on Software Engineering and Methodology

Papers
(The H4-Index of ACM Transactions on Software Engineering and Methodology is 45. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Finding Information Leaks with Information Flow Fuzzing—RCR Report814
KAPE: k NN-based Performance Testing for Deep Code Search197
Antidote or Placebo? Unraveling the Efficacy of Neuron Coverage Criteria on Testing Transformer-based Language Models185
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures183
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders177
Towards Reliable Generation of Executable Workflows by Foundation Models140
Reusing d-DNNFs for Efficient Feature-Model Counting133
FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMs132
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval131
FairGenerate: Enhancing Fairness through Synthetic Data Generation and Two-Fold Biased Labels Removal131
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task125
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing120
Causality-Driven Test Case Minimisation for Cyber-Physical Systems117
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning111
Assessing the Robustness of Test Selection Methods for Deep Neural Networks111
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization102
Preference-wise Testing of Android Apps via Test Amplification89
M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection88
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor87
Unraveling the Key of Machine Learning-based Android Malware Detection86
A Survey on Failure Analysis and Fault Injection in AI Systems84
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features83
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines80
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation73
An empirical study on vulnerability disclosure management of open source software systems72
Automatic Identification of Game Stuttering via Gameplay Videos Analysis72
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures69
An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face67
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages67
A Systematic Literature Review on Large Language Models for Automated Program Repair65
Communicating Study Design Trade-offs in Software Engineering60
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation59
History-Driven Fuzzing for Deep Learning Libraries57
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding52
Actionable Framework for Understanding and Improving Social and Human Factors that Influence the Requirements Management in Software Ecosystems52
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It51
Stakeholder Value Criteria for Technical Debt Acquisition Decisions: An Empirical Analysis51
Do Current Language Models Support Code Intelligence for R Programming Language?51
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report51
Towards an Oracle for Binary Decomposition Under Compilation Variance49
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs49
FormatFuzzer : Effective Fuzzing of Binary File Formats48
Help Them Understand: Testing and Improving Voice User Interfaces47
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach46
JIT-DCK: A KAN Multi-Task Model for Just-In-Time Code Defect Prediction and Localization45
FAVDisco : Modeling and Discovering File Access Vulnerabilities45
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts45
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