OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Software Engineering and Methodology is 32. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures	149
Automatic Identification of Game Stuttering via Gameplay Videos Analysis	144
KAPE: k NN-based Performance Testing for Deep Code Search	116
History-Driven Fuzzing for Deep Learning Libraries	101
Preference-wise Testing of Android Apps via Test Amplification	82
Mutant Reduction Evaluation: What is There and What is Missing?	76
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor	74
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization	58
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task	58
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines	54
Finding Information Leaks with Information Flow Fuzzing - RCR Report	53
An empirical study on vulnerability disclosure management of open source software systems	53
Reusing d-DNNFs for Efficient Feature-Model Counting	52
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs	49
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal	48
A Survey on Failure Analysis and Fault Injection in AI Systems	47
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing	47
Communicating Study Design Trade-offs in Software Engineering	45
Assessing the Robustness of Test Selection Methods for Deep Neural Networks	44
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders	43
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures	43
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features	41
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages	39
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation	38
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review	37

Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection	36
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example	36
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes	36
Deep API Sequence Generation via Golden Solution Samples and API Seeds	36
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions	35
An Empirical Study on Governance in Bitcoin’s Consensus Evolution	35
Introducing Interactions in Multi-Objective Optimization of Software Architectures	33
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction	32
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources	32
Help Them Understand: Testing and Improving Voice User Interfaces	32
FormatFuzzer : Effective Fuzzing of Binary File Formats	32