ACM Transactions on Software Engineering and Methodology

Papers
(The TQCC of ACM Transactions on Software Engineering and Methodology is 7. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures144
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing121
Automatic Identification of Game Stuttering via Gameplay Videos Analysis113
KAPE: k NN-based Performance Testing for Deep Code Search92
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures76
History-Driven Fuzzing for Deep Learning Libraries74
Preference-wise Testing of Android Apps via Test Amplification73
Mutant Reduction Evaluation: What is There and What is Missing?57
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor55
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization52
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task52
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines51
An empirical study on vulnerability disclosure management of open source software systems50
Assessing the Robustness of Test Selection Methods for Deep Neural Networks48
Finding Information Leaks with Information Flow Fuzzing - RCR Report45
Reusing d-DNNFs for Efficient Feature-Model Counting45
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs44
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders43
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal42
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation42
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages40
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features39
Communicating Study Design Trade-offs in Software Engineering36
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes35
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding35
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review35
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts34
An Accurate Identifier Renaming Prediction and Suggestion Approach34
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts33
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example32
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions31
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources31
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs31
FormatFuzzer : Effective Fuzzing of Binary File Formats31
An Empirical Study on Governance in Bitcoin’s Consensus Evolution31
Introducing Interactions in Multi-Objective Optimization of Software Architectures31
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction30
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement30
Help Them Understand: Testing and Improving Voice User Interfaces30
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It30
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report29
Why Do Developers Reject Refactorings in Open-Source Projects?29
Deep API Sequence Generation via Golden Solution Samples and API Seeds28
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments28
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection28
Enhancing Search-based Testing with Testability Transformations for Existing APIs28
A Survey of Learning-based Automated Program Repair27
Assessing the Early Bird Heuristic (for Predicting Project Quality)26
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing26
An Empirical Study on GitHub Pull Requests’ Reactions26
Revisiting the Identification of the Co-evolution of Production and Test Code26
Evaluation of Software Architectures under Uncertainty25
Vulnerability Repair via Concolic Execution and Code Mutations25
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities24
GIST : Generated Inputs Sets Transferability in Deep Learning23
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing23
Editorial: Toward the Future with Eight Issues Per Year23
A Systematic Literature Review of Multi-Label Learning in Software Engineering23
SimClone: Detecting Tabular Data Clones Using Value Similarity23
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning22
Editorial: ICSE and the Incredible Contradictions of Software Engineering22
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization22
Towards On-The-Fly Code Performance Profiling22
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities21
APIRO: A Framework for Automated Security Tools API Recommendation20
You Don’t Have to Say Where to Edit! jLED – Joint Learning to Localize and Edit Source Code20
SCOPE : Performance Testing for Serverless Computing20
A Characterization Study of Merge Conflicts in Java Projects20
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns20
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing20
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases19
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models19
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health19
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment19
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations19
Characterizing Installation- and Run-Time Compatibility Issues in Android Benign Apps and Malware19
SourcererJBF: A Java Build Framework For Large-Scale Compilation19
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks19
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems18
Adaptive Hypermutation for Search-Based System Test Generation: A Study on REST APIs with EvoMaster18
Exploring the Capabilities of LLMs for Code Change Related Tasks18
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors18
Eagle17
Test Input Prioritization for 3D Point Clouds17
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers17
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing17
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems17
Demystifying Hidden Sensitive Operations in Android Apps17
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning17
Automating TODO-missed Methods Detection and Patching16
Generation-based Differential Fuzzing for Deep Learning Libraries16
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations16
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps16
Testing Causality in Scientific Modelling Software16
Evolution-Aware Constraint Derivation Approach for Software Remodularization16
Is It Hard to Generate Holistic Commit Message?16
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement15
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks15
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension15
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models15
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers15
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities14
Measuring and Clustering Heterogeneous Chatbot Designs14
Adaptive Modelling Languages: Abstract Syntax and Model Migration14
Efficient Management of Containers for Software Defined Vehicles14
Certified Cost Bounds for Abstract Programs14
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration13
Duplicate Bug Report Detection: How Far Are We?13
A Roadmap for Integrating Sustainability into Software Engineering Education13
Refactoring in Computational Notebooks13
All in One: Design, Verification, and Implementation of SNOW-optimal Read Atomic Transactions13
Time-travel Investigation: Toward Building a Scalable Attack Detection Framework on Ethereum13
OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics13
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs12
Can GitHub Issues Help in App Review Classifications?12
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing12
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing12
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing12
Survey of Code Search Based on Deep Learning12
Automatic Core-Developer Identification on GitHub: A Validation Study12
A Comparative Study on Method Comment and Inline Comment12
Reputation Gaming in Crowd Technical Knowledge Sharing12
Understanding Software-2.012
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality12
AI for DevSecOps: A Landscape and Future Opportunities11
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features11
On the Significance of Category Prediction for Code-Comment Synchronization11
Differentiable Quantum Programming with Unbounded Loops11
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces11
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements11
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective11
Software Engineering by and for Humans in an AI Era10
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective10
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study10
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share10
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning10
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis10
Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement10
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems10
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks10
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems10
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing10
Testing RESTful APIs: A Survey10
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research10
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis10
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models9
The Case for Adaptive Security Interventions9
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code9
Fairness Testing of Machine Translation Systems9
An Empirical Study on the Relationship Between Defects and Source Code’s Unnaturalness9
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning9
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors9
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features9
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection9
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools9
Guided Feature Identification and Removal for Resource-constrained Firmware9
Representation Learning for Stack Overflow Posts: How Far Are We?9
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference9
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision9
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability9
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework9
Test Oracle Generation for REST APIs9
The Agile Success Model9
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead8
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem8
V ex IR2V ec : An Architecture-Neutral Embedding Framework for Binary Similarity8
Grammar Mutation for Testing Input Parsers8
BiRD: Race Detection in Software Binaries under Relaxed Memory Models8
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems8
Prompt-based Code Completion via Multi-Retrieval Augmented Generation8
Verification Witnesses8
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects8
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection8
Large Language Model-Aware In-Context Learning for Code Generation8
Rise of the Planet of Serverless Computing: A Systematic Review7
Software Security Analysis in 2030 and Beyond: A Research Roadmap7
My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures7
Snippet Comment Generation Based on Code Context Expansion7
Finding Information Leaks with Information Flow Fuzzing7
AceCoder : An Effective Prompting Technique Specialized in Code Generation7
Microservice Security Metrics for Secure Communication, Identity Management, and Observability7
Understanding Vulnerability Inducing Commits of the Linux Kernel7
Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries7
Blindspots in Python and Java APIs Result in Vulnerable Code7
Automated Identification of Toxic Code Reviews Using ToxiCR7
Learning-based Relaxation of Completeness Requirements for Data Entry Forms7
A road-map to Readily Available Early Validation & Verification of System Behaviour in Model-Based Systems Engineering using Software Engineering Best Practices7
Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing7
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems7
Recommending Variable Names for Extract Local Variable Refactorings7
Editorial: The End of the Journey7
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java7
Influential Global and Local Contexts Guided Trace Representation for Fault Localization7
Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees7
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks7
Challenges of Working from Home in Software Development During Covid-19 Lockdowns7
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration7
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions7
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era7
DRIVE: Dockerfile Rule Mining and Violation Detection7
Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair7
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