ACM Transactions on Software Engineering and Methodology

Article	Citations
An empirical study on vulnerability disclosure management of open source software systems	292
Assessing the Robustness of Test Selection Methods for Deep Neural Networks	189
Preference-wise Testing of Android Apps via Test Amplification	126
Mutant Reduction Evaluation: What is There and What is Missing?	125
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures	98
Automatic Identification of Game Stuttering via Gameplay Videos Analysis	89
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders	88
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor	77
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages	74
Reusing d-DNNFs for Efficient Feature-Model Counting	72
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing	71
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features	70
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures	69
KAPE: k NN-based Performance Testing for Deep Code Search	69
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval	63
Finding Information Leaks with Information Flow Fuzzing—RCR Report	62
TestLoop: A Process Model Describing Human-in-the-Loop Software Test Suite Generation	62
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal	61
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task	53
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines	52
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs	51
A Survey on Failure Analysis and Fault Injection in AI Systems	51
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization	50
History-Driven Fuzzing for Deep Learning Libraries	50
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation	49

Communicating Study Design Trade-offs in Software Engineering	48
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example	47
Deep API Sequence Generation via Golden Solution Samples and API Seeds	46
Introducing Interactions in Multi-Objective Optimization of Software Architectures	46
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction	44
PVDetector: Pretrained Vulnerability Detection on Vulnerability-enriched Code Semantic Graph	43
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review	40
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection	39
FormatFuzzer : Effective Fuzzing of Binary File Formats	39
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs	38
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding	36
Why Do Developers Reject Refactorings in Open-Source Projects?	36
Do Current Language Models Support Code Intelligence for R Programming Language?	35
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report	35
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions	35
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts	34
An Accurate Identifier Renaming Prediction and Suggestion Approach	34
A Survey of Learning-based Automated Program Repair	33
Help Them Understand: Testing and Improving Voice User Interfaces	31
An Empirical Study on Governance in Bitcoin’s Consensus Evolution	31
FAVDisco: Modeling and Discovering File Access Vulnerabilities	30
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It	30
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach	30
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources	29
Enhancing Security and Acuity of Smart Contract Vulnerability Detection based on Federated Learning and BiLSTM-Attention	29
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments	29
Systematic Literature Review on Software Security Vulnerability Information Extraction	29
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts	29
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement	28
A Systematic Literature Review of Multi-Label Learning in Software Engineering	27
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes	27
Vulnerability Repair via Concolic Execution and Code Mutations	27
Revisiting the Identification of the Co-evolution of Production and Test Code	26
Why Do GitHub Actions Workflows Fail? An Empirical Study	26
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair	26
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization	26
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities	26
Towards On-The-Fly Code Performance Profiling	26
Editorial: Toward the Future with Eight Issues Per Year	25
APIRO: A Framework for Automated Security Tools API Recommendation	25
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing	23
An Empirical Study on GitHub Pull Requests’ Reactions	23
Editorial: ICSE and the Incredible Contradictions of Software Engineering	23
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities	23
Leveraging Reviewer Experience in Code Review Comment Generation	23
GIST : Generated Inputs Sets Transferability in Deep Learning	23
SimClone: Detecting Tabular Data Clones Using Value Similarity	23
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning	23
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns	22
Assessing the Early Bird Heuristic (for Predicting Project Quality)	22

SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems	22
SCOPE : Performance Testing for Serverless Computing	22
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing	22
On-the-fly Generation-Quality Enhancement of Deep Code Models via Model Collaboration	22
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models	22
Commit Messages Generation Based on Core Changes	21
Security of Language Models for Code: A Systematic Literature Review	21
Characterizing Installation- and Run-Time Compatibility Issues in Android Benign Apps and Malware	21
A Characterization Study of Merge Conflicts in Java Projects	21
You Don’t Have to Say Where to Edit! jLED—Joint Learning to Localize and Edit Source Code	21
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations	21
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing	21
SourcererJBF: A Java Build Framework For Large-Scale Compilation	20
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks	20
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems	20
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing	20
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health	20
Demystifying Hidden Sensitive Operations in Android Apps	19
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems	19
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases	19
Exploring Fine-Grained Bug Report Categorization with Large Language Models and Prompt Engineering: An Empirical Study	18
Exploring the Capabilities of LLMs for Code-Change-Related Tasks	18
Test Input Prioritization for 3D Point Clouds	18
Monitoring data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study	18
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment	18
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors	18
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers	18
Generation-based Differential Fuzzing for Deep Learning Libraries	18
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models	17
A Roadmap for Integrating Sustainability into Software Engineering Education	17
Efficient Management of Containers for Software Defined Vehicles	17
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development	17
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement	17
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations	17
Bypassing Guardrails: Lessons Learned from Red Teaming ChatGPT	17
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration	17
Is It Hard to Generate Holistic Commit Message?	16
Adaptive Modelling Languages: Abstract Syntax and Model Migration	16
All in One: Design, Verification, and Implementation of SNOW-optimal Read Atomic Transactions	16
Testing Causality in Scientific Modelling Software	16
Evolution-Aware Constraint Derivation Approach for Software Remodularization	16
Automating TODO-missed Methods Detection and Patching	16
Interpreting Deep Neural Networks via Relative Activation-Deactivation Abstractions	16
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps	16
Certified Cost Bounds for Abstract Programs	16
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers	16
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks	16
Stress Testing Control Loops in Cyber-Physical Systems - RCR Report	15
Time-travel Investigation: Toward Building a Scalable Attack Detection Framework on Ethereum	15
PonziHunter: Hunting Ethereum Ponzi Contract via Static Analysis and Contrastive Learning on the Bytecode Level	15
SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing	15
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning	15
Programming Smart Playtesting	15
Enhancing Task In-Progress Time Predictions through Affective and Personality Factors	15
Measuring and Clustering Heterogeneous Chatbot Designs	15
Duplicate Bug Report Detection: How Far Are We?	14
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model	14
OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics	14
Refactoring in Computational Notebooks	14
AI for DevSecOps: A Landscape and Future Opportunities	14
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension	14
Differentiable Quantum Programming with Unbounded Loops	14
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities	14
Automatic Core-Developer Identification on GitHub: A Validation Study	14
Survey of Code Search Based on Deep Learning	14
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs	14
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing	13
Preparation and Utilization of Mixed States for Testing Quantum Programs	13
Visualization Task Taxonomy to Understand the Fuzzing Internals	13
Can GitHub Issues Help in App Review Classifications?	13
On the Significance of Category Prediction for Code-Comment Synchronization	13
MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning	13
Reputation Gaming in Crowd Technical Knowledge Sharing	13
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements	13
CITYWALK : Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge	12
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference	12
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality	12
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing	12
A Comparative Study on Method Comment and Inline Comment	12
Exploring Development Methods for Reactive Synthesis Specifications	12

Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks	12
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective	12
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing	12
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems	12
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective	11
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning	11
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study	11
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research	11
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing	11
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis	11
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces	11
Testing RESTful APIs: A Survey	11
Large Language Models for Cyber Security: A Systematic Literature Review	11
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share	11
Automated Abstract Transformer Synthesis for Reduced Product Domains	11
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems	11
Software Engineering by and for Humans in an AI Era	11
Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement	11
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features	11
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis	11
Guided Feature Identification and Removal for Resource-constrained Firmware	11
Representation Learning for Stack Overflow Posts: How Far Are We?	10
Grammar Mutation for Testing Input Parsers	10
Fairness Testing of Machine Translation Systems	10
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability	10
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection	10
Exploring JVM Garbage Collector Testing with Event-Coverage	10
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models	10
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools	10
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem	10
BiRD: Race Detection in Software Binaries under Relaxed Memory Models	10
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features	10
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code	10
An Empirical Study on the Relationship Between Defects and Source Code’s Unnaturalness	10
Test Oracle Generation for REST APIs	10
Addressing OSS Community Managers’ Challenges in Contributor Retention	10
The Havoc Paradox in Generator-Based Fuzzing — RCR Report	10
Verification Witnesses	10
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision	10
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework	10
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects	10
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors	10
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead	9
CCIHunter: Enhancing Smart Contract Code-Comment Inconsistencies Detection via Two-Stage Pre-training	9
Model Driven Engineering, Artificial Intelligence, and DevOps for Software and Systems Engineering: A Systematic Mapping Study of Synergies and Challenges	9
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions	9
Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries	9
V ex IR2V ec : An Architecture-Neutral Embedding Framework for Binary Similarity	9
Understanding Vulnerability Inducing Commits of the Linux Kernel	9
Microservice Security Metrics for Secure Communication, Identity Management, and Observability	9
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems	9
Editorial: The End of the Journey	9
A Review of Learning-based Smart Contract Vulnerability Detection: A Perspective on Code Representation	9
Sustainability in the Field of Software Engineering: A Tertiary Study	9
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems	9
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era	9
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning	9
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection	9
Recommending Variable Names for Extract Local Variable Refactorings	9
Finding Information Leaks with Information Flow Fuzzing	9
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration	9
DRIVE: Dockerfile Rule Mining and Violation Detection	9
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java	9
Influential Global and Local Contexts Guided Trace Representation for Fault Localization	9
Prompt-based Code Completion via Multi-Retrieval Augmented Generation	8
FQN Inference in Partial Code by Prompt-tuned Language Model of Code	8
Large Language Model-Aware In-Context Learning for Code Generation	8
Just-in-Time Detection of Silent Security Patches	8
Software Security Analysis in 2030 and Beyond: A Research Roadmap	8
Accountability in Code Review: The Role of Intrinsic Drivers and the Impact of LLMs	8
ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps	8
µOpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics	8
A Road-Map to Readily Available Early Validation and Verification of System Behaviour in Model-Based Systems Engineering using Software Engineering Best Practices	8
AceCoder : An Effective Prompting Technique Specialized in Code Generation	8
Automated Identification of Toxic Code Reviews Using ToxiCR	8
Rise of the Planet of Serverless Computing: A Systematic Review	8
Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing	8
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks	8
Snippet Comment Generation Based on Code Context Expansion	8
My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures	8
Challenges of Working from Home in Software Development During Covid-19 Lockdowns	8
Learning Software Bug Reports: A Systematic Literature Review	8
AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling	8
Learning-based Relaxation of Completeness Requirements for Data Entry Forms	8
Improving Automated Program Repair with Domain Adaptation	8
Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair	8
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders	8
Bias Testing and Mitigation in LLM-based Code Generation	7
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development	7
Requirements-Driven Automated Software Testing: A Systematic Review	7
Privacy in Chatbot Conversation-Driven Development: A Comprehensive Review and Requirements Proposal	7
Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?	7
FairFLRep: Fairness aware fault localization and repair of Deep Neural Networks	7
deGraphCS : Embedding Variable-based Flow Graph for Neural Code Search	7
Weakly Supervised Vulnerability Localization via Multiple Instance Learning	7