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 2021-06-01 to 2025-06-01.)
ArticleCitations
Introduction to the special issue on program comprehension186
Optimal priority assignment for real-time systems: a coevolution-based approach95
Effects of variability in models: a family of experiments72
Toward effective secure code reviews: an empirical study of security-related coding weaknesses63
Consensus task interaction trace recommender to guide developers’ software navigation59
An empirical study on the effectiveness of large language models for SATD identification and classification59
On the adoption and effects of source code reuse on defect proneness and maintenance effort56
Path context augmented statement and network for learning programs55
TestEvoViz: visualizing genetically-based test coverage evolution52
Understanding the characteristics and the role of visual issue reports49
Dynamical analysis of diversity in rule-based open source network intrusion detection systems42
Does the first response matter for future contributions? A study of first contributions42
The human experience of comprehending source code in virtual reality40
Can static analysis tools find more defects?38
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests36
Seeing the invisible: test prioritization for object detection system36
A study of documentation for software architecture34
An empirical study of IoT topics in IoT developer discussions on Stack Overflow32
Bugs in machine learning-based systems: a faultload benchmark32
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata32
Evaluating few-shot and contrastive learning methods for code clone detection32
The impact of class imbalance techniques on crashing fault residence prediction models31
Efficient static analysis and verification of featured transition systems31
Smells in system user interactive tests28
Cross-status communication and project outcomes in OSS development28
Automatic prediction of rejected edits in Stack Overflow28
Deep learning based identification of inconsistent method names: How far are we?28
App review driven collaborative bug finding27
A fine-grained taxonomy of code review feedback in TypeScript projects27
Collaboration failure analysis in cyber-physical system-of-systems using context fuzzy clustering27
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