OOIR: Observatory of International Research

Papers

(The H4-Index of Empirical Software Engineering is 28. 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 2021-10-01 to 2025-10-01.)

Article	Citations
Introduction to the special issue on program comprehension	232
Consensus task interaction trace recommender to guide developers’ software navigation	108
Toward effective secure code reviews: an empirical study of security-related coding weaknesses	77
Understanding the characteristics and the role of visual issue reports	71
Can static analysis tools find more defects?	68
TestEvoViz: visualizing genetically-based test coverage evolution	68
Dynamical analysis of diversity in rule-based open source network intrusion detection systems	55
Shaky structures: The wobbly world of causal graphs in software analytics	52
(In)Security of mobile apps in developing countries: a systematic literature review	47
Bugs in machine learning-based systems: a faultload benchmark	45
Seeing the invisible: test prioritization for object detection system	45
Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata	45
Efficient static analysis and verification of featured transition systems	43
Path context augmented statement and network for learning programs	40
Underproduction analysis of open source software	39
On the adoption and effects of source code reuse on defect proneness and maintenance effort	35
Effects of variability in models: a family of experiments	34
An empirical study on the effectiveness of large language models for SATD identification and classification	32
More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests	31
Does the first response matter for future contributions? A study of first contributions	31
Optimal priority assignment for real-time systems: a coevolution-based approach	30
A study of documentation for software architecture	30
The human experience of comprehending source code in virtual reality	30
Practitioner’s view of the success factors for software outsourcing partnership formation: an empirical exploration	29
Developers’ perception matters: machine learning to detect developer-sensitive smells	29

Evaluating few-shot and contrastive learning methods for code clone detection	29
Analyzing and mitigating (with LLMs) the security misconfigurations of Helm charts from Artifact Hub	29
Towards cost-benefit evaluation for continuous software engineering activities	28
What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow	28
Testing the past: can we still run tests in past snapshots for Java projects?	28