ACM Transactions on Software Engineering and Methodology

Papers
(The TQCC of ACM Transactions on Software Engineering and Methodology is 8. 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 2021-07-01 to 2025-07-01.)
ArticleCitations
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task222
Preference-wise Testing of Android Apps via Test Amplification167
Mutant Reduction Evaluation: What is There and What is Missing?120
Bounded Verification of Atomicity Violations for Interrupt-Driven Programs via Lazy Sequentialization105
Reusing d-DNNFs for Efficient Feature-Model Counting91
Test Generation Strategies for Building Failure Models and Explaining Spurious Failures83
Automatic Identification of Game Stuttering via Gameplay Videos Analysis81
Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders64
Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor62
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing61
KAPE: k NN-based Performance Testing for Deep Code Search60
Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines57
I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages57
An empirical study on vulnerability disclosure management of open source software systems57
Finding Information Leaks with Information Flow Fuzzing - RCR Report56
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs55
FairGenerate: Enhancing Fairness Through Synthetic Data Generation and Two-Fold Biased Labels Removal52
A Survey on Failure Analysis and Fault Injection in AI Systems51
Communicating Study Design Trade-offs in Software Engineering48
Assessing the Robustness of Test Selection Methods for Deep Neural Networks48
History-Driven Fuzzing for Deep Learning Libraries47
Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features47
Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures47
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation45
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report45
JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs44
Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review41
FormatFuzzer : Effective Fuzzing of Binary File Formats41
Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions40
Do Current Language Models Support Code Intelligence for R Programming Language?40
Towards Automating Domain-Specific Data Generation for Text-to-SQL: A Comprehensive Approach39
Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding38
Why Do Developers Reject Refactorings in Open-Source Projects?37
Help Them Understand: Testing and Improving Voice User Interfaces36
Enhancing Search-based Testing with Testability Transformations for Existing APIs36
Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes35
A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It34
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources34
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction33
Systematic Literature Review on Software Security Vulnerability Information Extraction33
FAVDisco: Modeling and Discovering File Access Vulnerabilities33
An Empirical Study on Governance in Bitcoin’s Consensus Evolution33
Try with Simpler - An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection32
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments32
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts32
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement31
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts30
A Survey of Learning-based Automated Program Repair30
Enhancing Security and Acuity of Smart Contract Vulnerability Detection based on Federated Learning and BiLSTM-Attention30
Model Transformation Development Using Automated Requirements Analysis, Metamodel Matching, and Transformation by Example29
Introducing Interactions in Multi-Objective Optimization of Software Architectures28
An Accurate Identifier Renaming Prediction and Suggestion Approach28
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair27
SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems27
Deep API Sequence Generation via Golden Solution Samples and API Seeds27
Towards On-The-Fly Code Performance Profiling26
A Systematic Literature Review of Multi-Label Learning in Software Engineering26
Vulnerability Repair via Concolic Execution and Code Mutations25
SCOPE : Performance Testing for Serverless Computing25
Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities25
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities25
AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization25
Editorial: ICSE and the Incredible Contradictions of Software Engineering25
Editorial: Toward the Future with Eight Issues Per Year24
SimClone: Detecting Tabular Data Clones Using Value Similarity24
GIST : Generated Inputs Sets Transferability in Deep Learning23
Assessing the Early Bird Heuristic (for Predicting Project Quality)23
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing23
An Empirical Study on GitHub Pull Requests’ Reactions23
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning23
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns23
Revisiting the Identification of the Co-evolution of Production and Test Code22
Evaluation of Software Architectures under Uncertainty22
Exploring Fine-Grained Bug Report Categorization with Large Language Models and Prompt Engineering: An Empirical Study21
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing21
You Don’t Have to Say Where to Edit! jLED – Joint Learning to Localize and Edit Source Code21
Graphuzz: Data-driven Seed Scheduling for Coverage-guided Greybox Fuzzing21
APIRO: A Framework for Automated Security Tools API Recommendation21
SourcererJBF: A Java Build Framework For Large-Scale Compilation20
Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations20
Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems20
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases20
Test Input Prioritization for 3D Point Clouds20
Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors20
A Characterization Study of Merge Conflicts in Java Projects20
Characterizing Installation- and Run-Time Compatibility Issues in Android Benign Apps and Malware20
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems19
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing19
Adaptive Hypermutation for Search-Based System Test Generation: A Study on REST APIs with EvoMaster19
Demystifying Hidden Sensitive Operations in Android Apps19
Monitoring data for Anomaly Detection in Cloud-Based Systems: A Systematic Mapping Study19
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health19
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers19
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks19
Exploring the Capabilities of LLMs for Code-Change-Related Tasks18
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning18
Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment18
Cleaning Up Confounding: Accounting for Endogeneity Using Instrumental Variables and Two-Stage Models18
Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement17
Autonomous Driving System Testing via Diversity-Oriented Driving Scenario Exploration17
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models17
Programming Smart Playtesting17
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities16
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development16
Measuring and Clustering Heterogeneous Chatbot Designs16
Stress Testing Control Loops in Cyber-Physical Systems - RCR Report16
Efficient Management of Containers for Software Defined Vehicles16
Battling against Protocol Fuzzing: Protecting Networked Embedded Devices from Dynamic Fuzzers16
PonziHunter: Hunting Ethereum Ponzi Contract via Static Analysis and Contrastive Learning on the Bytecode Level16
Is It Hard to Generate Holistic Commit Message?16
Evolution-Aware Constraint Derivation Approach for Software Remodularization15
Certified Cost Bounds for Abstract Programs15
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks15
Duplicate Bug Report Detection: How Far Are We?15
Adaptive Modelling Languages: Abstract Syntax and Model Migration15
Fairness Concerns in App Reviews: A Study on AI-Based Mobile Apps15
Fold2Vec: Towards a Statement-Based Representation of Code for Code Comprehension15
Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations15
A Roadmap for Integrating Sustainability into Software Engineering Education15
Eagle15
Testing Causality in Scientific Modelling Software15
All in One: Design, Verification, and Implementation of SNOW-optimal Read Atomic Transactions15
Generation-based Differential Fuzzing for Deep Learning Libraries14
Differentiable Quantum Programming with Unbounded Loops14
An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs14
A Comparative Study on Method Comment and Inline Comment14
Time-travel Investigation: Toward Building a Scalable Attack Detection Framework on Ethereum14
Automating TODO-missed Methods Detection and Patching14
Automatic Core-Developer Identification on GitHub: A Validation Study14
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality13
MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning13
On the Significance of Category Prediction for Code-Comment Synchronization13
Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing13
On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing13
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements13
The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective13
Can GitHub Issues Help in App Review Classifications?13
Survey of Code Search Based on Deep Learning13
Understanding Software-2.013
Reputation Gaming in Crowd Technical Knowledge Sharing12
Preparation and Utilization of Mixed States for Testing Quantum Programs12
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective12
How Do Successful and Failed Projects Differ? A Socio-Technical Analysis12
NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing12
Refactoring in Computational Notebooks12
AI for DevSecOps: A Landscape and Future Opportunities12
Obfuscated Clone Search in JavaScript based on Reinforcement Subsequence Learning12
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share12
Software Engineering by and for Humans in an AI Era12
Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks12
OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics12
Visualization Task Taxonomy to Understand the Fuzzing Internals12
DiPri : Distance-Based Seed Prioritization for Greybox Fuzzing12
The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems12
A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces12
Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study12
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research11
Let’s Discover More API Relations: A Large Language Model-Based AI Chain for Unsupervised API Relation Inference11
An Empirical Study on the Relationship Between Defects and Source Code’s Unnaturalness11
Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement11
Towards Practical Binary Code Similarity Detection: Vulnerability Verification via Patch Semantic Analysis11
Automated Abstract Transformer Synthesis for Reduced Product Domains11
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features11
Test Oracle Generation for REST APIs11
Testing RESTful APIs: A Survey11
Mitigating Regression Faults Induced by Feature Evolution in Deep Learning Systems11
Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code10
The Case for Adaptive Security Interventions10
Simulating Software Evolution to Evaluate the Reliability of Early Decision-making among Design Alternatives toward Maintainability10
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning10
Exploring JVM Garbage Collector Testing with Event-Coverage10
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects10
Guided Feature Identification and Removal for Resource-constrained Firmware10
BiRD: Race Detection in Software Binaries under Relaxed Memory Models10
Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors10
SemMT: A Semantic-Based Testing Approach for Machine Translation Systems10
Verification Witnesses10
Mobile Application Online Cross-Project Just-in-Time Software Defect Prediction Framework10
Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection10
The Agile Success Model10
Representation Learning for Stack Overflow Posts: How Far Are We?10
Automated Identification of Toxic Code Reviews Using ToxiCR9
Microservice Security Metrics for Secure Communication, Identity Management, and Observability9
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead9
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features9
Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection9
Influential Global and Local Contexts Guided Trace Representation for Fault Localization9
Editorial: The End of the Journey9
AceCoder : An Effective Prompting Technique Specialized in Code Generation9
DRIVE: Dockerfile Rule Mining and Violation Detection9
Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java9
Toward Better Comprehension of Breaking Changes in the NPM Ecosystem9
Fairness Testing of Machine Translation Systems9
V ex IR2V ec : An Architecture-Neutral Embedding Framework for Binary Similarity9
Prompt-based Code Completion via Multi-Retrieval Augmented Generation9
Making Software Development More Diverse and Inclusive: Key Themes, Challenges, and Future Directions9
Understanding Vulnerability Inducing Commits of the Linux Kernel9
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration9
Identifying Affected Third-Party Java Libraries from Textual Descriptions of Vulnerabilities and Libraries9
Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models9
Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision9
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools9
Large Language Model-Aware In-Context Learning for Code Generation9
Grammar Mutation for Testing Input Parsers9
Finding Information Leaks with Information Flow Fuzzing9
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era9
Snippet Comment Generation Based on Code Context Expansion8
My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures8
Improving Automated Program Repair with Domain Adaptation8
Learning-based Relaxation of Completeness Requirements for Data Entry Forms8
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems8
Finding Near-optimal Configurations in Colossal Spaces with Statistical Guarantees8
Challenges of Working from Home in Software Development During Covid-19 Lockdowns8
Temporal-Incremental Learning for Android Malware Detection8
Software Security Analysis in 2030 and Beyond: A Research Roadmap8
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks8
Rise of the Planet of Serverless Computing: A Systematic Review8
FQN Inference in Partial Code by Prompt-tuned Language Model of Code8
Making Sense of the Unknown: How Managers Make Cyber Security Decisions8
Exploring Automated Assertion Generation via Large Language Models8
A Road-Map to Readily Available Early Validation and Verification of System Behaviour in Model-Based Systems Engineering using Software Engineering Best Practices8
Blindspots in Python and Java APIs Result in Vulnerable Code8
Recommending Variable Names for Extract Local Variable Refactorings8
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