OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Software Engineering is 43. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Machine Learning Testing: Survey, Landscapes and Horizons	374
Smart Contract Development: Challenges and Opportunities	349
The Art, Science, and Engineering of Fuzzing: A Survey	219
Deep Learning Based Vulnerability Detection: Are We There Yet?	207
Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study	183
Deep Semantic Feature Learning for Software Defect Prediction	178
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models	177
An Empirical Study of Fault Localization Families and Their Combinations	135
SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair	129
Defining Smart Contract Defects on Ethereum	100
Perceptions, Expectations, and Challenges in Defect Prediction	95
RefactoringMiner 2.0	87
Automatic Feature Learning for Predicting Vulnerable Software Components	84
An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models	75
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction	75
Checking Smart Contracts With Structural Code Embedding	73
Service Candidate Identification from Monolithic Systems Based on Execution Traces	71
Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review	71
Mining Fix Patterns for FindBugs Violations	66
Cognitive Biases in Software Engineering: A Systematic Mapping Study	64
Socio-Technical Grounded Theory for Software Engineering	63
A Survey on Adaptive Random Testing	62
DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode	59
Predicting Defective Lines Using a Model-Agnostic Technique	58
The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction	58

Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells?	57
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention	53
Toxic Code Snippets on Stack Overflow	53
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers	53
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study	53
Automatically Assessing Code Understandability	49
Deep Learning Based Code Smell Detection	48
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering	48
The Impact of Correlated Metrics on the Interpretation of Defect Models	48
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction	48
An Empirical Study of Boosting Spectrum-Based Fault Localization via PageRank	47
CODIT: Code Editing With Tree-Based Neural Models	47
DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction	46
Just-In-Time Defect Identification and Localization: A Two-Phase Framework	46
Historical Spectrum Based Fault Localization	44
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code	44
Today Was a Good Day: The Daily Life of Software Developers	44
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing	43
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance	43