Lionel Briand

29.0k total citations · 9 hit papers
415 papers, 19.2k citations indexed

About

Lionel Briand is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Lionel Briand has authored 415 papers receiving a total of 19.2k indexed citations (citations by other indexed papers that have themselves been cited), including 270 papers in Information Systems, 261 papers in Software and 149 papers in Artificial Intelligence. Recurrent topics in Lionel Briand's work include Software Engineering Research (223 papers), Software Reliability and Analysis Research (179 papers) and Software Testing and Debugging Techniques (170 papers). Lionel Briand is often cited by papers focused on Software Engineering Research (223 papers), Software Reliability and Analysis Research (179 papers) and Software Testing and Debugging Techniques (170 papers). Lionel Briand collaborates with scholars based in Luxembourg, Canada and Norway. Lionel Briand's co-authors include Yvan Labiche, Victor R. Basili, Jürgen Wüst, Andrea Arcuri, Walcélio L. Melo, John W. Daly, Erik Arisholm, Sandro Morasca, Mehrdad Sabetzadeh and Shiva Nejati and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Reliability Engineering & System Safety.

In The Last Decade

Lionel Briand

400 papers receiving 17.7k citations

Hit Papers

A validation of object-or... 1996 2026 2006 2016 1996 2011 2005 1999 2000 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A validation of object-oriented design metrics as quality indicators
    1996 1.3k citations Lionel Briand et al. IEEE Transactions on Software Engineering profile →
  2. A practical guide for using statistical tests to assess randomized algorithms in software engineering
    2011 699 citations Lionel Briand et al. profile →
  3. Is mutation an appropriate tool for testing experiments?
    2005 593 citations Lionel Briand, Yvan Labiche et al. profile →
  4. A unified framework for coupling measurement in object-oriented systems
    1999 585 citations Lionel Briand et al. IEEE Transactions on Software Engineering profile →
  5. Exploring the relationships between design measures and software quality in object-oriented systems
    2000 524 citations Lionel Briand et al. Journal of Systems and Software profile →
  6. A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering
    2012 426 citations Lionel Briand et al. profile →
  7. Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
    2006 343 citations Lionel Briand, Yvan Labiche et al. IEEE Transactions on Software Engineering profile →
  8. A systematic and comprehensive investigation of methods to build and evaluate fault prediction models
    2009 336 citations Lionel Briand et al. Journal of Systems and Software profile →
  9. A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation
    2009 323 citations Lionel Briand et al. IEEE Transactions on Software Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lionel Briand Luxembourg 71 14.7k 12.9k 5.5k 3.9k 1.1k 415 19.2k
Mark Harman United Kingdom 71 14.4k 1.0× 16.0k 1.2× 4.6k 0.8× 3.6k 0.9× 2.6k 2.3× 469 22.0k
David Lo Singapore 73 15.8k 1.1× 8.5k 0.7× 5.4k 1.0× 4.9k 1.2× 3.4k 3.0× 599 19.3k
Victor R. Basili United States 58 14.1k 1.0× 7.6k 0.6× 4.8k 0.9× 2.9k 0.7× 405 0.4× 342 16.8k
Tao Xie United States 57 7.8k 0.5× 5.8k 0.5× 2.7k 0.5× 4.1k 1.0× 2.1k 1.9× 381 11.2k
Ivar Jacobson United States 26 7.6k 0.5× 4.4k 0.3× 6.4k 1.2× 2.4k 0.6× 315 0.3× 82 13.0k
James Rumbaugh United States 21 6.4k 0.4× 4.1k 0.3× 6.0k 1.1× 2.8k 0.7× 523 0.5× 57 12.5k
Barry Boehm United States 52 12.2k 0.8× 5.4k 0.4× 3.7k 0.7× 2.1k 0.5× 199 0.2× 404 15.3k
Massimiliano Di Penta Italy 64 11.8k 0.8× 5.8k 0.5× 3.4k 0.6× 3.6k 0.9× 2.2k 2.0× 342 13.4k
David Lorge Parnas Canada 39 5.2k 0.4× 2.7k 0.2× 4.8k 0.9× 2.5k 0.6× 257 0.2× 186 9.5k
John Mylopoulos Canada 54 8.9k 0.6× 2.2k 0.2× 9.7k 1.7× 3.6k 0.9× 905 0.8× 412 13.7k

Countries citing papers authored by Lionel Briand

Since Specialization
Citations

This map shows the geographic impact of Lionel Briand's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lionel Briand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Briand more than expected).

Fields of papers citing papers by Lionel Briand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lionel Briand. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lionel Briand. The network helps show where Lionel Briand may publish in the future.

Co-authorship network of co-authors of Lionel Briand

This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Briand. A scholar is included among the top collaborators of Lionel Briand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lionel Briand. Lionel Briand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pastore, Fabrizio, et al.. (2025). Search-Based DNN Testing and Retraining With GAN-Enhanced Simulations. Open Repository and Bibliography (University of Luxembourg). 51(4). 1086–1103. 1 indexed citations
2.
Abualhaija, Sallam, et al.. (2024). CompAi: A Tool for GDPR Completeness Checking of Privacy Policies using Artificial Intelligence. Open Repository and Bibliography (University of Luxembourg). 2366–2369. 1 indexed citations
3.
Pastore, Fabrizio, et al.. (2024). MOTIF: A tool for Mutation Testing with Fuzzing. Open Repository and Bibliography (University of Luxembourg). 451–453.
4.
Abualhaija, Sallam, et al.. (2024). AI-Enabled Regulatory Change Analysis of Legal Requirements. Open Repository and Bibliography (University of Luxembourg). 5–17. 4 indexed citations
5.
Bianculli, Domenico, et al.. (2024). Defining a Model for Content Requirements from the Law: An Experience Report. Open Repository and Bibliography (University of Luxembourg). 18–30. 1 indexed citations
6.
Menghi, Claudio, et al.. (2023). Trace Diagnostics for Signal-Based Temporal Properties. IEEE Transactions on Software Engineering. 49(5). 3131–3154. 3 indexed citations
7.
Maggio, Martina, et al.. (2023). Stress Testing Control Loops in Cyber-physical Systems. ACM Transactions on Software Engineering and Methodology. 33(2). 1–58. 2 indexed citations
8.
Nejati, Shiva, et al.. (2022). Optimal priority assignment for real-time systems: a coevolution-based approach. Empirical Software Engineering. 27(6). 142–142. 4 indexed citations
9.
Ghaleb, Taher A., et al.. (2022). Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests. IEEE Transactions on Software Engineering. 49(4). 1912–1927. 1 indexed citations
10.
Li, Xiaochen, et al.. (2022). A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms. ACM Transactions on Software Engineering and Methodology. 32(2). 1–40. 5 indexed citations
11.
Shar, Lwin Khin, et al.. (2021). Automated reverse engineering of role-based access control policies of web applications. Journal of Systems and Software. 184. 111109–111109. 4 indexed citations
12.
Shin, Donghwan, et al.. (2021). Log-based slicing for system-level test cases. Open Repository and Bibliography (University of Luxembourg). 517–528. 14 indexed citations
13.
Göknil, Arda, et al.. (2017). A Change Management Approach in Product Lines for Use Case-Driven Development and Testing. Open Repository and Bibliography (University of Luxembourg). 4 indexed citations
14.
Nejati, Shiva, et al.. (2016). Automated change impact analysis between SysML models of requirements and design. Open Repository and Bibliography (University of Luxembourg). 242–253. 19 indexed citations
15.
Briand, Lionel, et al.. (2016). Automated Testing of Web Application Firewalls. Open Repository and Bibliography (University of Luxembourg). 2 indexed citations
16.
Briand, Lionel, et al.. (2005). Lessons Learned from Developing a Dynamic OCL Constraint Enforcement Tool for Java. 4 indexed citations
17.
Briand, Lionel, et al.. (2004). Using simulation to empirically investigate test coverage criteria based on statechart. International Conference on Software Engineering. 86–95. 59 indexed citations
18.
Briand, Lionel, et al.. (1999). Modelling the Factors Driving the Quality of Meetings in the Software Development Process. Computational and Mathematical Methods in Medicine. 2022. 3452176–3452176.
19.
Briand, Lionel, Khaled El Emam, & Frank Bomarius. (1998). COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment. International Conference on Software Engineering. 390–399. 90 indexed citations
20.
Briand, Lionel, Khaled El Emam, & Sandro Morasca. (1995). Theoretical and Empirical Validation of Software Product Measures. 53 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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