Empirical Software Engineering

Papers
(The H4-Index of Empirical Software Engineering is 32. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Introduction to the special issue on program comprehension119
Consensus task interaction trace recommender to guide developers’ software navigation107
Underproduction analysis of open source software101
The human experience of comprehending source code in virtual reality92
Security by documentation? characterizing GitHub SECURITY.md policy and their adoption in Python libraries81
The design space of lockfiles across package managers79
(In)Security of mobile apps in developing countries: a systematic literature review64
Optimal priority assignment for real-time systems: a coevolution-based approach59
Bugs in machine learning-based systems: a faultload benchmark58
Fuzzing-based mutation testing of C/C++ software in cyber-physical systems56
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata53
Does the first response matter for future contributions? A study of first contributions53
Evaluating few-shot and contrastive learning methods for code clone detection51
Can static analysis tools find more defects?43
Understanding the characteristics and the role of visual issue reports42
On the adoption and effects of source code reuse on defect proneness and maintenance effort41
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests40
Seeing the invisible: test prioritization for object detection system40
Mitigating omitted variable bias in empirical software engineering40
An empirical study on the effectiveness of large language models for SATD identification and classification39
TestEvoViz: visualizing genetically-based test coverage evolution38
Shaky structures: The wobbly world of causal graphs in software analytics38
Toward effective secure code reviews: an empirical study of security-related coding weaknesses38
A study of documentation for software architecture36
Developers’ perception matters: machine learning to detect developer-sensitive smells36
Cross-status communication and project outcomes in OSS development34
Maintaining shared understanding of non-functional requirements in small companies using continuous software engineering33
Output format biases in the evaluation of large language models for code translation33
What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow32
Towards cost-benefit evaluation for continuous software engineering activities32
Testing the past: can we still run tests in past snapshots for Java projects?32
Collaboration failure analysis in cyber-physical system-of-systems using context fuzzy clustering32
The impact of class imbalance techniques on crashing fault residence prediction models32
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