ACM Transactions on Software Engineering and Methodology

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
KAPE: k NN-based Performance Testing for Deep Code Search	115
History-Driven Fuzzing for Deep Learning Libraries	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
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation	59
Towards Reliable Generation of Executable Workflows by Foundation Models	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
Reusing d-DNNFs for Efficient Feature-Model Counting	54
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines	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
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding	44
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
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes	43
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources	43
Stakeholder Value Criteria for Technical Debt Acquisition Decisions: An Empirical Analysis	41
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It	40
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection	38
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report	38
PVDetector: Pretrained Vulnerability Detection on Vulnerability-enriched Code Semantic Graph	38
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs	36
Introducing Interactions in Multi-Objective Optimization of Software Architectures	35
Help Them Understand: Testing and Improving Voice User Interfaces	35
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions	35
Enhancing Security and Acuity of Smart Contract Vulnerability Detection Based on Federated Learning and BiLSTM-Attention	34
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction	33
Systematic Literature Review on Software Security Vulnerability Information Extraction	32
FAVDisco : Modeling and Discovering File Access Vulnerabilities	32
Surveying the Benchmarking Landscape of Large Language Models in Code Intelligence	32
JIT-DCK: A KAN Multi-Task Model for Just-In-Time Code Defect Prediction and Localization	32
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach	32
Can LLMs Hack Enterprise Networks? — RCR Report	32
Towards an Oracle for Binary Decomposition Under Compilation Variance	31
On-the-fly Generation-Quality Enhancement of Deep Code Models via Model Collaboration	31
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing	31
A Survey of Learning-based Automated Program Repair	31
An Accurate Identifier Renaming Prediction and Suggestion Approach	31
Assessing the Early Bird Heuristic (for Predicting Project Quality)	31
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments	31
JIT-MTL: Just-in-Time Defect Localization and Prediction with Multi-Task Learning	31
ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems	30
GIST : Generated Inputs Sets Transferability in Deep Learning	30
Editorial: Toward the Future with Eight Issues Per Year	30
Code-Enhanced Cross-Perspective Bug Question Retrieval	29
Editorial: ICSE and the Incredible Contradictions of Software Engineering	29
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing	29

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning	29
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization	29
SimClone: Detecting Tabular Data Clones Using Value Similarity	28
Vulnerability Repair via Concolic Execution and Code Mutations	28
Towards On-the-Fly Code Performance Profiling	28
A Survey of Learning-based Method Name Prediction	28
APIRO: A Framework for Automated Security Tools API Recommendation	27
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities	27
Exploring Data-Efficient Adaptation of Large Language Models for Code Generation	27
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives	27
Revisiting the Identification of the Co-evolution of Production and Test Code	27
SCOPE : Performance Testing for Serverless Computing	26
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap	26
SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems	26
A Systematic Literature Review of Multi-Label Learning in Software Engineering	26
An Empirical Study on GitHub Pull Requests’ Reactions	26
Detection of Technical Debt in Java Source Code	26
Why Do GitHub Actions Workflows Fail? An Empirical Study	25
Leveraging Reviewer Experience in Code Review Comment Generation	25
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair	25
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities	25
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment	24
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models	24
Security of Language Models for Code: A Systematic Literature Review	24
Automatic Rule Checking for Microservices: Supporting Security Analysis with Explainability	24
SourcererJBF: A Java Build Framework For Large-Scale Compilation	24
A Characterization Study of Merge Conflicts in Java Projects	24
You Don’t Have to Say Where to Edit! jLED—Joint Learning to Localize and Edit Source Code	23
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health	23
Exploring Fine-Grained Bug Report Categorization with Large Language Models and Prompt Engineering: An Empirical Study	23
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks	23
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems	22
Test Input Prioritization for 3D Point Clouds	22
Ethical Prompt Engineering for AI-driven SE: Evidence-informed Interaction-time Governance Roadmap to 2030	22
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations	21
Monitoring Data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study	21
Commit Messages Generation Based on Core Changes	21
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing	21
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases	21
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors	21
Characterizing Installation- and Run-time Compatibility Issues in Android Benign Apps and Malware	21
Demystifying Hidden Sensitive Operations in Android Apps	21
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning	20
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers	20
Certified Cost Bounds for Abstract Programs	20
Programming Smart Playtesting	20
Exploring the Capabilities of LLMs for Code-Change-Related Tasks	20
Automating TODO-missed Methods Detection and Patching	20
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers	20
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems	20
PonziHunter: Hunting Ethereum Ponzi Contract via Static Analysis and Contrastive Learning on the Bytecode Level	19
A Roadmap for Integrating Sustainability into Software Engineering Education	19
Efficient Management of Containers for Software Defined Vehicles	19
Adaptive Modelling Languages: Abstract Syntax and Model Migration	19
Evolution-Aware Constraint Derivation Approach for Software Remodularization	19
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations	19
Stress Testing Control Loops in Cyber-Physical Systems—RCR Report	19
Interpreting Deep Neural Networks via Relative Activation-Deactivation Abstractions	19
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement	19
Is It Hard to Generate Holistic Commit Message?	19
Duplicate Bug Report Detection: How Far Are We?	19
Measuring and Clustering Heterogeneous Chatbot Designs	18
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks	18
Generation-based Differential Fuzzing for Deep Learning Libraries	18
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development	18
Automatically Checking Semantic Equivalence between Versions of Large-Scale C Projects	18
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension	18
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models	18
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps	18
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration	18
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities	18
Testing Causality in Scientific Modelling Software	18
Bypassing Guardrails: Lessons Learned from Red Teaming ChatGPT	17
Exploring Development Methods for Reactive Synthesis Specifications	17
A Comparative Study on Method Comment and Inline Comment	17
Visualization Task Taxonomy to Understand the Fuzzing Internals	17
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing	17
Inferring Input Grammars from Code with Symbolic Parsing	17
MORepair : Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning	17
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective	17

Can GitHub Issues Help in App Review Classifications?	17
Enhancing Task In-Progress Time Predictions through Affective and Personality Factors	17
LogUpdater : Automated Detection and Repair of Specific Defects in Logging Statements	17
On the Significance of Category Prediction for Code-Comment Synchronization	17
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing	17
Differentiable Quantum Programming with Unbounded Loops	16
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development	16
Reference-Based Retrieval-Augmented Unit Test Generation	16
Reputation Gaming in Crowd Technical Knowledge Sharing	16
Software Vulnerabilities as Cognitive Blindspots; Assessing the Suitability of a Dual Processing Theory of Decision Making for Secure Coding	16
On the Reruns of GitHub Actions Workflows	16
AI for DevSecOps: A Landscape and Future Opportunities	16
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks	15
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing	15
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing	15
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality	15
Survey of Code Search Based on Deep Learning	15
A Comprehensive Multi-Vocal Empirical Study of ML Cloud Service Misuses	15
Automatic Core-Developer Identification on GitHub: A Validation Study	15
Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems	15
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model	15
Complete, Sound, and Scalable Identification of Minimal Failure-Causing Schema	15
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing	15
CITYWALK : Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge	15
Revisiting Vulnerability Patch Identification on Data in the Wild	15
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs	15
Refactoring in Computational Notebooks	15
Preparation and Utilization of Mixed States for Testing Quantum Programs	15
Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy	15
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share	14
A Large-Scale Empirical Evaluation of LLMs for Automated Self-Admitted Technical Debt Repayment	14
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner’s Perspective	14
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis	14
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems	14
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning	14
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study	14
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features	14
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems	14
PanicFI: An Infrastructure for Fixing Panic Bugs in Real-World Rust Programs	14
VulDeNoise: Outlier Detection to Reduce Label Noises for Effective Vulnerability Detection	14
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks	13
Fast, Fine-Grained Equivalence Checking for Neural Decompilers	13
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects	13
Test Oracle Generation for REST APIs	13
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis	13
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces	13
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective	13
Large Language Models for Cyber Security: A Systematic Literature Review	13
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework	13
Software Engineering by and for Humans in an AI Era	13
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference	13
Testing RESTful APIs: A Survey	13
Booster: Effective and Efficient Web GUI Trace Reduction Based on Multi-Level State Abstraction and Time-Guided Hierarchical Delta Debugging	13
BiRD: Race Detection in Software Binaries under Relaxed Memory Models	13
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models	13
Theory of Troubleshooting: The Developer’s Cognitive Experience of Overcoming Confusion	13
Understanding Inconsistent State Update Vulnerabilities in Smart Contracts	13
Grammar Mutation for Testing Input Parsers	12
Analysis of EMF meta-model duplication in open-source repositories	12
An Empirical Study on the Relationship between Defects and Source Code’s Unnaturalness	12
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem	12
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features	12
CCIHunter: Enhancing Smart Contract Code-Comment Inconsistencies Detection via Two-Stage Pre-training	12
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code	12
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors	12
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools	12
Representation Learning for Stack Overflow Posts: How Far Are We?	12
Exploring JVM Garbage Collector Testing with Event-Coverage	12
Automated Abstract Transformer Synthesis for Reduced Product Domains	12
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision	12
Verification Witnesses	12
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead	12
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability	12
Fairness Testing of Machine Translation Systems	12
Addressing OSS Community Managers’ Challenges in Contributor Retention	12
The Havoc Paradox in Generator-Based Fuzzing—RCR Report	12
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection	12
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration	12
Editorial: The End of the Journey	12
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection	12
Influential Global and Local Contexts Guided Trace Representation for Fault Localization	11
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems	11
DRIVE: Dockerfile Rule Mining and Violation Detection	11
As Long As I See It - OSVHunter: Understanding and Detecting Open-Secret Vulnerabilities in Smart Contracts	11
AceCoder : An Effective Prompting Technique Specialized in Code Generation	11
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era	11
Recommending Variable Names for Extract Local Variable Refactorings	11
Finding Information Leaks with Information Flow Fuzzing	11
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions	11
Prompt-Based Code Completion via Multi-Retrieval Augmented Generation	11
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java	11
Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries	11
A Review of Learning-based Smart Contract Vulnerability Detection: A Perspective on Code Representation	11
Automated Identification of Toxic Code Reviews Using ToxiCR	11
Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges	11