OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Software Engineering and Methodology is 43. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Finding Information Leaks with Information Flow Fuzzing—RCR Report	581
Automatic Identification of Game Stuttering via Gameplay Videos Analysis	164
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval	137
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation	131
History-Driven Fuzzing for Deep Learning Libraries	115
KAPE: k NN-based Performance Testing for Deep Code Search	115
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization	112
An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face	106
FairGenerate: Enhancing Fairness through Synthetic Data Generation and Two-Fold Biased Labels Removal	100
An empirical study on vulnerability disclosure management of open source software systems	98
Mutant Reduction Evaluation: What is There and What is Missing?	94
A Survey on Failure Analysis and Fault Injection in AI Systems	93
Antidote or Placebo? Unraveling the Efficacy of Neuron Coverage Criteria on Testing Transformer-based Language Models	86
Assessing the Robustness of Test Selection Methods for Deep Neural Networks	82
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures	79
Preference-wise Testing of Android Apps via Test Amplification	77
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor	75
M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection	73
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures	70
FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMs	70
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task	69
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages	69
Unraveling the Key of Machine Learning-based Android Malware Detection	68
Communicating Study Design Trade-offs in Software Engineering	68
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing	67

Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders	65
Towards Reliable Generation of Executable Workflows by Foundation Models	59
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation	59
A Systematic Literature Review on Large Language Models for Automated Program Repair	57
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features	56
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines	54
Reusing d-DNNFs for Efficient Feature-Model Counting	54
An Empirical Study on Governance in Bitcoin’s Consensus Evolution	53
Actionable Framework for Understanding and Improving Social and Human Factors that Influence the Requirements Management in Software Ecosystems	52
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts	50
FormatFuzzer : Effective Fuzzing of Binary File Formats	49
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement	46
Deep API Sequence Generation via Golden Solution Samples and API Seeds	45
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review	44
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts	44
Do Current Language Models Support Code Intelligence for R Programming Language?	44
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding	44
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources	43
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes	43