Empirical Software Engineering

Papers
(The H4-Index of Empirical Software Engineering is 27. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Unveiling overlooked performance variance in serverless computing173
Assessing the adoption of security policies by developers in terraform across different cloud providers103
GitHub Actions: The Impact on the Pull Request Process78
A fine-grained data set and analysis of tangling in bug fixing commits68
Finding the sweet spot for organizational control and team autonomy in large-scale agile software development56
Fixing Dockerfile smells: an empirical study54
Calling relationship investigation and application on Ethereum Blockchain System54
UPC sentinel: An accurate approach for detecting upgradeability proxy contracts in Ethereum49
Reflections on the Empirical Software Engineering journal45
A review of automatic source code summarization43
Adversarial domain adaptation for cross-project defect prediction43
Introduction to the special issue on program comprehension42
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction42
Assessing exception handling testing practices in open-source libraries38
Transformers and meta-tokenization in sentiment analysis for software engineering35
Explainable automated debugging via large language model-driven scientific debugging34
A fine-grained evaluation of mutation operators to boost mutation testing for deep learning systems33
Prioritizing code review requests to improve review efficiency: a simulation study33
Computation offloading for ground robotic systems communicating over WiFi – an empirical exploration on performance and energy trade-offs32
An empirical study on release notes patterns of popular apps in the Google Play Store32
Hold on! is my feedback useful? evaluating the usefulness of code review comments32
Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications31
Detection and evaluation of bias-inducing features in machine learning30
APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities28
SAFe transformation in a large financial corporation27
Reviewing rounds prediction for code patches27
Software development metrics: to VR or not to VR27
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