ACM Transactions on Software Engineering and Methodology

Article	Citations
Finding Information Leaks with Information Flow Fuzzing—RCR Report	814
KAPE: k NN-based Performance Testing for Deep Code Search	197
Antidote or Placebo? Unraveling the Efficacy of Neuron Coverage Criteria on Testing Transformer-based Language Models	185
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures	183
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders	177
Towards Reliable Generation of Executable Workflows by Foundation Models	140
Reusing d-DNNFs for Efficient Feature-Model Counting	133
FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMs	132
FairGenerate: Enhancing Fairness through Synthetic Data Generation and Two-Fold Biased Labels Removal	131
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval	131
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task	125
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing	120
Causality-Driven Test Case Minimisation for Cyber-Physical Systems	117
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning	111
Assessing the Robustness of Test Selection Methods for Deep Neural Networks	111
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization	102
Preference-wise Testing of Android Apps via Test Amplification	89
M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection	88
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor	87
Unraveling the Key of Machine Learning-based Android Malware Detection	86
A Survey on Failure Analysis and Fault Injection in AI Systems	84
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features	83
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines	80
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation	73
Automatic Identification of Game Stuttering via Gameplay Videos Analysis	72

An empirical study on vulnerability disclosure management of open source software systems	72
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures	69
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages	67
An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face	67
A Systematic Literature Review on Large Language Models for Automated Program Repair	65
Communicating Study Design Trade-offs in Software Engineering	60
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation	59
History-Driven Fuzzing for Deep Learning Libraries	57
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding	52
Actionable Framework for Understanding and Improving Social and Human Factors that Influence the Requirements Management in Software Ecosystems	52
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 Report	51
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It	51
Stakeholder Value Criteria for Technical Debt Acquisition Decisions: An Empirical Analysis	51
Towards an Oracle for Binary Decomposition Under Compilation Variance	49
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs	49
FormatFuzzer : Effective Fuzzing of Binary File Formats	48
Help Them Understand: Testing and Improving Voice User Interfaces	47
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach	46
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts	45
JIT-DCK: A KAN Multi-Task Model for Just-In-Time Code Defect Prediction and Localization	45
FAVDisco : Modeling and Discovering File Access Vulnerabilities	45
An Empirical Study on Governance in Bitcoin’s Consensus Evolution	44
Surveying the Benchmarking Landscape of Large Language Models in Code Intelligence	44
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review	44
PVDetector: Pretrained Vulnerability Detection on Vulnerability-enriched Code Semantic Graph	42
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement	42
Confused Deputy Attack Against Model Context Protocol	42
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction	41
Systematic Literature Review on Software Security Vulnerability Information Extraction	40
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection	39
Enhancing Security and Acuity of Smart Contract Vulnerability Detection Based on Federated Learning and BiLSTM-Attention	39
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes	39
An Accurate Identifier Renaming Prediction and Suggestion Approach	38
Deep API Sequence Generation via Golden Solution Samples and API Seeds	38
Can LLMs Hack Enterprise Networks? — RCR Report	37
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments	37
A Survey of Learning-based Automated Program Repair	36
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources	35
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts	35
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions	35
Introducing Interactions in Multi-Objective Optimization of Software Architectures	35
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair	34
APIRO: A Framework for Automated Security Tools API Recommendation	34
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap	34
An Empirical Study on GitHub Pull Requests’ Reactions	34
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities	33
Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements	33
SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems	33
Assessing the Early Bird Heuristic (for Predicting Project Quality)	33

JIT-MTL: Just-in-Time Defect Localization and Prediction with Multi-Task Learning	33
GIST : Generated Inputs Sets Transferability in Deep Learning	32
Editorial: Toward the Future with Eight Issues Per Year	32
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization	32
Editorial: ICSE and the Incredible Contradictions of Software Engineering	32
A Survey of Learning-based Method Name Prediction	31
F-800: Agentic Fuzzing Termination via Function Clustering: Toward Smarter Early Stopping	31
SimClone: Detecting Tabular Data Clones Using Value Similarity	31
Detection of Technical Debt in Java Source Code	31
Towards On-the-Fly Code Performance Profiling	31
On-the-Fly Generation-Quality Enhancement of Deep Code Models via Model Collaboration	30
Vulnerability Repair via Concolic Execution and Code Mutations	30
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing	30
SCOPE : Performance Testing for Serverless Computing	30
Exploring Data-Efficient Adaptation of Large Language Models for Code Generation	30
HumanEval-V: Systematic Evaluation of Visual Reasoning in Large Multimodal Models for Code Generation	30
Leveraging Reviewer Experience in Code Review Comment Generation	30
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing	29
A Systematic Literature Review of Multi-Label Learning in Software Engineering	29
ADSDx : Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems	29
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives	29
Code-Enhanced Cross-Perspective Bug Question Retrieval	28
Revisiting the Identification of the Co-evolution of Production and Test Code	28
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities	28
SourcererJBF: A Java Build Framework For Large-Scale Compilation	27
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems	27
Why Do GitHub Actions Workflows Fail? An Empirical Study	27
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors	27
Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?	26
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks	26
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations	26
You Don’t Have to Say Where to Edit! jLED—Joint Learning to Localize and Edit Source Code	26
Characterizing Installation- and Run-time Compatibility Issues in Android Benign Apps and Malware	26
Ethical Prompt Engineering for AI-driven SE: Evidence-informed Interaction-time Governance Roadmap to 2030	25
Demystifying Hidden Sensitive Operations in Android Apps	25
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing	25
Test Input Prioritization for 3D Point Clouds	25
Commit Messages Generation Based on Core Changes	25
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers	24
Automatic Rule Checking for Microservices: Supporting Security Analysis with Explainability	24
Security of Language Models for Code: A Systematic Literature Review	24
Exploring Fine-Grained Bug Report Categorization with Large Language Models and Prompt Engineering: An Empirical Study	24
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems	24
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels	23
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases	23
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models	23
Exploring the Capabilities of LLMs for Code-Change-Related Tasks	23
Monitoring Data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study	23
A Characterization Study of Merge Conflicts in Java Projects	23
Measure Twice, Locate Once: Mitigating Hallucinations in LLM-based Agents for Repository-Scale Fault Localization	23
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment	23
Assessing and Improving Prompting Large Language Models for Software Vulnerability Analysis	23
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing	22
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health	22
Automating TODO-missed Methods Detection and Patching	22
Enhancing Task In-Progress Time Predictions through Affective and Personality Factors	22
A Mixed-Method Study of Hot Fixing in Industry: Practices, Bottlenecks, and Opportunities	22
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension	21
Adaptive Modelling Languages: Abstract Syntax and Model Migration	21
Certified Cost Bounds for Abstract Programs	21
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement	21
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks	21
Stress Testing Control Loops in Cyber-Physical Systems—RCR Report	21
Advancing LLM-Based Issue Report Classification with Explained Few-Shot Learning, Intent Extraction, Ensemble, and Summarization	21
Automatically Checking Semantic Equivalence between Versions of Large-Scale C Projects	21
Evolution-Aware Constraint Derivation Approach for Software Remodularization	21
Bypassing Guardrails: Lessons Learned from Red Teaming ChatGPT	20
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development	20
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models	20
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers	20
Programming Smart Playtesting	20
Duplicate Bug Report Detection: How Far Are We?	20
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations	20
Efficient Management of Containers for Software Defined Vehicles	20
Interpreting Deep Neural Networks via Relative Activation-Deactivation Abstractions	20
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration	19
Testing Causality in Scientific Modelling Software	19
Revisiting Vulnerability Patch Identification on Data in the Wild	19
Is It Hard to Generate Holistic Commit Message?	19
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps	19

Generation-based Differential Fuzzing for Deep Learning Libraries	19
Measuring and Clustering Heterogeneous Chatbot Designs	19
Software Vulnerabilities as Cognitive Blindspots; Assessing the Suitability of a Dual Processing Theory of Decision Making for Secure Coding	19
PonziHunter: Hunting Ethereum Ponzi Contract via Static Analysis and Contrastive Learning on the Bytecode Level	19
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning	19
A Roadmap for Integrating Sustainability into Software Engineering Education	19
ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis	19
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities	19
Refactoring in Computational Notebooks	18
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs	18
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality	18
Survey of Code Search Based on Deep Learning	18
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing	18
On the Reruns of GitHub Actions Workflows	18
Differentiable Quantum Programming with Unbounded Loops	18
Reference-Based Retrieval-Augmented Unit Test Generation	18
Complete, Sound, and Scalable Identification of Minimal Failure-Causing Schema	18
Visualization Task Taxonomy to Understand the Fuzzing Internals	18
Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems	18
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing	17
On the Significance of Category Prediction for Code-Comment Synchronization	17
Confidence vs. Competence: Misalignment in Judgment and Performance for Agentic Software Repair	17
Exploring Development Methods for Reactive Synthesis Specifications	17
PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval	17
Preparation and Utilization of Mixed States for Testing Quantum Programs	17
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model	17
CITYWALK : Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge	17
MORepair : Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning	17
Inferring Input Grammars from Code with Symbolic Parsing	16
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing	16
LogUpdater : Automated Detection and Repair of Specific Defects in Logging Statements	16
AI for DevSecOps: A Landscape and Future Opportunities	16
A Large-Scale Empirical Evaluation of LLMs for Automated Self-Admitted Technical Debt Repayment	16
A Comparative Study on Method Comment and Inline Comment	16
Automatic Core-Developer Identification on GitHub: A Validation Study	16
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development	16
Reputation Gaming in Crowd Technical Knowledge Sharing	16
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning	16
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy	16
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks	16
Can GitHub Issues Help in App Review Classifications?	16
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems	16
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective	16
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner’s Perspective	15
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective	15
Understanding Inconsistent State Update Vulnerabilities in Smart Contracts	15
The Influence of Environmental Odors on Student Programmers During Code Comprehension and Code Writing	15
A Comprehensive Multi-Vocal Empirical Study of ML Cloud Service Misuses	15
Large Language Models for Cyber Security: A Systematic Literature Review	15
Testing RESTful APIs: A Survey	15
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features	15
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems	15
VulDeNoise: Outlier Detection to Reduce Label Noises for Effective Vulnerability Detection	15
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces	15
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks	15
PanicFI: An Infrastructure for Fixing Panic Bugs in Real-World Rust Programs	15
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis	15
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share	15
Type-aware LLM-based Test Generation for Python Programs	15
Theory of Troubleshooting: The Developer’s Cognitive Experience of Overcoming Confusion	15
Booster: Effective and Efficient Web GUI Trace Reduction Based on Multi-Level State Abstraction and Time-Guided Hierarchical Delta Debugging	15
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference	15
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing	15
Software Engineering by and for Humans in an AI Era	15
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study	15
Fairness Testing of Machine Translation Systems	14
A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback	14
Exploring JVM Garbage Collector Testing with Event-Coverage	14
Arash : Token-Efficient LLM-Assisted Crash Root Cause Analysis in Fuzz Driver Generation	14
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability	14
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors	14
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem	14
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools	14
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection	14
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework	14
Test Oracle Generation for REST APIs	14
Dyn NPC: Finding More Violations Induced by ADS in Simulation Testing via Dynamic NPC Behavior Generation	14
Automated Abstract Transformer Synthesis for Reduced Product Domains	14
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection	14
Representation Learning for Stack Overflow Posts: How Far Are We?	14
The Havoc Paradox in Generator-Based Fuzzing—RCR Report	14
Addressing OSS Community Managers’ Challenges in Contributor Retention	13
JSTestCraft : Addressing Context Deficits in JavaScript Unit Test Generation via Agentic Multi-Level Contextual Analysis	13
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models	13
Verification Witnesses	13
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration	13
An Empirical Study on the Relationship between Defects and Source Code’s Unnaturalness	13
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead	13
Analysis of EMF Meta-Model Duplication in Open Source Repositories	13
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects	13
Grammar Mutation for Testing Input Parsers	13
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code	13
Evaluating Incompatible Third-party Library API Usage in LLM-based Code Completion	13
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision	13
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features	13