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 2022-01-01 to 2026-01-01.)
ArticleCitations
Introduction to the special issue on program comprehension254
Consensus task interaction trace recommender to guide developers’ software navigation87
Path context augmented statement and network for learning programs85
Effects of variability in models: a family of experiments76
TestEvoViz: visualizing genetically-based test coverage evolution67
Shaky structures: The wobbly world of causal graphs in software analytics57
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata55
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests53
Does the first response matter for future contributions? A study of first contributions50
Underproduction analysis of open source software49
Toward effective secure code reviews: an empirical study of security-related coding weaknesses44
Bugs in machine learning-based systems: a faultload benchmark43
Optimal priority assignment for real-time systems: a coevolution-based approach41
Can static analysis tools find more defects?39
On the adoption and effects of source code reuse on defect proneness and maintenance effort37
Fuzzing-based mutation testing of C/C++ software in cyber-physical systems36
Understanding the characteristics and the role of visual issue reports36
A study of documentation for software architecture35
(In)Security of mobile apps in developing countries: a systematic literature review34
Seeing the invisible: test prioritization for object detection system34
Evaluating few-shot and contrastive learning methods for code clone detection34
An empirical study on the effectiveness of large language models for SATD identification and classification33
Practitioner’s view of the success factors for software outsourcing partnership formation: an empirical exploration32
The human experience of comprehending source code in virtual reality32
Analyzing and mitigating (with LLMs) the security misconfigurations of Helm charts from Artifact Hub30
The impact of the COVID-19 pandemic on women’s contribution to public code29
Deep learning based identification of inconsistent method names: How far are we?29
What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow29
A fine-grained taxonomy of code review feedback in TypeScript projects29
Testing the past: can we still run tests in past snapshots for Java projects?29
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