ACM Transactions on Software Engineering and Methodology

Papers
(The TQCC of ACM Transactions on Software Engineering and Methodology is 9. 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
Help Them Understand: Testing and Improving Voice User Interfaces37
FAVDisco: Modeling and Discovering File Access Vulnerabilities37
Systematic Literature Review on Software Security Vulnerability Information Extraction36
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement36
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach36
Enhancing Security and Acuity of Smart Contract Vulnerability Detection based on Federated Learning and BiLSTM-Attention36
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts35
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts34
Do Current Language Models Support Code Intelligence for R Programming Language?33
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding32
An Accurate Identifier Renaming Prediction and Suggestion Approach32
FormatFuzzer : Effective Fuzzing of Binary File Formats32
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction31
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments31
Introducing Interactions in Multi-Objective Optimization of Software Architectures31
A Survey of Learning-based Automated Program Repair30
Why Do Developers Reject Refactorings in Open-Source Projects?30
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair30
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources30
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs30
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review30
Towards On-The-Fly Code Performance Profiling29
Why Do GitHub Actions Workflows Fail? An Empirical Study29
On-the-fly Generation-Quality Enhancement of Deep Code Models via Model Collaboration28
SCOPE : Performance Testing for Serverless Computing28
SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems28
Assessing the Early Bird Heuristic (for Predicting Project Quality)28
APIRO: A Framework for Automated Security Tools API Recommendation27
Vulnerability Repair via Concolic Execution and Code Mutations27
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization26
A Systematic Literature Review of Multi-Label Learning in Software Engineering25
SimClone: Detecting Tabular Data Clones Using Value Similarity25
Exploring Data-Efficient Adaptation of Large Language Models for Code Generation25
Editorial: Toward the Future with Eight Issues Per Year24
GIST : Generated Inputs Sets Transferability in Deep Learning24
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing24
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing23
A Survey of Learning-based Method Name Prediction23
An Empirical Study on GitHub Pull Requests’ Reactions23
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities23
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns23
Editorial: ICSE and the Incredible Contradictions of Software Engineering23
Revisiting the Identification of the Co-evolution of Production and Test Code23
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives23
Leveraging Reviewer Experience in Code Review Comment Generation23
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning22
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems22
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities22
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing22
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems22
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks22
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health22
Characterizing Installation- and Run-Time Compatibility Issues in Android Benign Apps and Malware21
Commit Messages Generation Based on Core Changes21
Security of Language Models for Code: A Systematic Literature Review21
SourcererJBF: A Java Build Framework For Large-Scale Compilation21
You Don’t Have to Say Where to Edit! jLED—Joint Learning to Localize and Edit Source Code20
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors20
Monitoring data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study20
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models19
A Characterization Study of Merge Conflicts in Java Projects19
Test Input Prioritization for 3D Point Clouds19
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing19
Exploring Fine-Grained Bug Report Categorization with Large Language Models and Prompt Engineering: An Empirical Study19
Demystifying Hidden Sensitive Operations in Android Apps19
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment18
Exploring the Capabilities of LLMs for Code-Change-Related Tasks18
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension18
Automatic Rule Checking for Microservices: Supporting Security Analysis with Explainability18
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers18
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development18
Evolution-Aware Constraint Derivation Approach for Software Remodularization18
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations18
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases18
Generation-based Differential Fuzzing for Deep Learning Libraries18
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers17
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing17
Certified Cost Bounds for Abstract Programs17
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning17
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement17
Testing Causality in Scientific Modelling Software17
Adaptive Modelling Languages: Abstract Syntax and Model Migration17
Time-travel Investigation: Toward Building a Scalable Attack Detection Framework on Ethereum17
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks17
Automating TODO-missed Methods Detection and Patching17
Enhancing Task In-Progress Time Predictions through Affective and Personality Factors17
Interpreting Deep Neural Networks via Relative Activation-Deactivation Abstractions16
Programming Smart Playtesting16
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities16
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models16
PonziHunter: Hunting Ethereum Ponzi Contract via Static Analysis and Contrastive Learning on the Bytecode Level16
A Roadmap for Integrating Sustainability into Software Engineering Education15
Efficient Management of Containers for Software Defined Vehicles15
Duplicate Bug Report Detection: How Far Are We?15
All in One: Design, Verification, and Implementation of SNOW-optimal Read Atomic Transactions15
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration15
Stress Testing Control Loops in Cyber-Physical Systems—RCR Report15
Measuring and Clustering Heterogeneous Chatbot Designs15
Bypassing Guardrails: Lessons Learned from Red Teaming ChatGPT15
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations15
Is It Hard to Generate Holistic Commit Message?15
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements14
Can GitHub Issues Help in App Review Classifications?14
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps14
CITYWALK : Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge14
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model14
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing14
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs14
Refactoring in Computational Notebooks14
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective14
OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics14
Differentiable Quantum Programming with Unbounded Loops14
AI for DevSecOps: A Landscape and Future Opportunities14
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing13
Preparation and Utilization of Mixed States for Testing Quantum Programs13
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality13
Automatic Core-Developer Identification on GitHub: A Validation Study13
Reputation Gaming in Crowd Technical Knowledge Sharing13
A Comparative Study on Method Comment and Inline Comment13
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing13
Visualization Task Taxonomy to Understand the Fuzzing Internals13
Exploring Development Methods for Reactive Synthesis Specifications13
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning12
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems12
Large Language Models for Cyber Security: A Systematic Literature Review12
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis12
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study12
Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement12
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference12
MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning12
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems12
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research12
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces12
Software Engineering by and for Humans in an AI Era12
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features12
On the Significance of Category Prediction for Code-Comment Synchronization12
Survey of Code Search Based on Deep Learning12
Testing RESTful APIs: A Survey12
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis12
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective12
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share12
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing12
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks12
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection11
Guided Feature Identification and Removal for Resource-constrained Firmware11
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework11
Fairness Testing of Machine Translation Systems11
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection11
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features11
Representation Learning for Stack Overflow Posts: How Far Are We?11
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects11
BiRD: Race Detection in Software Binaries under Relaxed Memory Models11
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability11
Grammar Mutation for Testing Input Parsers11
Test Oracle Generation for REST APIs11
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code11
Exploring JVM Garbage Collector Testing with Event-Coverage10
The Havoc Paradox in Generator-Based Fuzzing — RCR Report10
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors10
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision10
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead10
Understanding Vulnerability Inducing Commits of the Linux Kernel10
An Empirical Study on the Relationship between Defects and Source Code’s Unnaturalness10
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem10
Fast, Fine-Grained Equivalence Checking for Neural Decompilers10
Verification Witnesses10
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models10
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems10
Analysis of EMF meta-model duplication in open-source repositories10
Addressing OSS Community Managers’ Challenges in Contributor Retention10
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning10
Automated Abstract Transformer Synthesis for Reduced Product Domains10
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools10
CCIHunter: Enhancing Smart Contract Code-Comment Inconsistencies Detection via Two-Stage Pre-training10
Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges9
Microservice Security Metrics for Secure Communication, Identity Management, and Observability9
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems9
Just-in-Time Detection of Silent Security Patches9
Learning Software Bug Reports: A Systematic Literature Review9
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java9
Large Language Model-Aware In-Context Learning for Code Generation9
A Review of Learning-based Smart Contract Vulnerability Detection: A Perspective on Code Representation9
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions9
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era9
AceCoder : An Effective Prompting Technique Specialized in Code Generation9
Finding Information Leaks with Information Flow Fuzzing9
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration9
Recommending Variable Names for Extract Local Variable Refactorings9
Automated Identification of Toxic Code Reviews Using ToxiCR9
AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling9
Sustainability in the Field of Software Engineering: A Tertiary Study9
Prompt-based Code Completion via Multi-Retrieval Augmented Generation9
Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries9
Editorial: The End of the Journey9
DRIVE: Dockerfile Rule Mining and Violation Detection9
VexIR2Vec : An Architecture-Neutral Embedding Framework for Binary Similarity9
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