Empirical Software Engineering

Papers
(The H4-Index of Empirical Software Engineering is 29. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Introduction to the special issue on program comprehension101
Consensus task interaction trace recommender to guide developers’ software navigation84
TestEvoViz: visualizing genetically-based test coverage evolution83
Shaky structures: The wobbly world of causal graphs in software analytics77
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests69
Does the first response matter for future contributions? A study of first contributions63
Underproduction analysis of open source software55
The human experience of comprehending source code in virtual reality52
Security by documentation? characterizing GitHub SECURITY.md policy and their adoption in Python libraries48
The design space of lockfiles across package managers47
(In)Security of mobile apps in developing countries: a systematic literature review44
Seeing the invisible: test prioritization for object detection system41
Optimal priority assignment for real-time systems: a coevolution-based approach40
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata39
Can static analysis tools find more defects?39
Fuzzing-based mutation testing of C/C++ software in cyber-physical systems38
Evaluating few-shot and contrastive learning methods for code clone detection38
Understanding the characteristics and the role of visual issue reports37
Toward effective secure code reviews: an empirical study of security-related coding weaknesses36
Bugs in machine learning-based systems: a faultload benchmark35
On the adoption and effects of source code reuse on defect proneness and maintenance effort35
Mitigating omitted variable bias in empirical software engineering35
A study of documentation for software architecture34
An empirical study on the effectiveness of large language models for SATD identification and classification32
The impact of class imbalance techniques on crashing fault residence prediction models32
On the use of commit-relevant mutants31
Developers’ perception matters: machine learning to detect developer-sensitive smells31
Cross-status communication and project outcomes in OSS development30
The impact of the COVID-19 pandemic on women’s contribution to public code30
Automated test generation for Scratch programs29
On the impact of security vulnerabilities in the npm and RubyGems dependency networks29
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