H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 81 Citations 28,070 319 World Ranking 406 National Ranking 17

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to automated software testing

2010 - IEEE Fellow For contributions to testing of object-oriented software systems


What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Software
  • Software engineering

Lionel C. Briand mainly investigates Software, Software quality, Object-oriented programming, Software engineering and Data mining. His Software research includes elements of Machine learning, Cost estimate and Artificial intelligence. His Software quality research includes themes of Java and Software system, Software maintenance.

His Object-oriented programming study integrates concerns from other disciplines, such as Dependency, Maintainability, Cohesion and Testability. His Software engineering research incorporates themes from Software design, Unified Modeling Language, Applications of UML, Systems engineering and Empirical research. His Data mining study combines topics from a wide range of disciplines, such as Legacy system, Reliability engineering, Fault detection and isolation, Predictive modelling and Source code.

His most cited work include:

  • A validation of object-oriented design metrics as quality indicators (1427 citations)
  • A unified framework for coupling measurement in object-oriented systems (752 citations)
  • Is mutation an appropriate tool for testing experiments (711 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Software engineering, Software, Unified Modeling Language, Data mining and Test case. His work carried out in the field of Software engineering brings together such families of science as Software development, Software development process, Software system, Systems engineering and Object-oriented programming. The study incorporates disciplines such as Cohesion and Software quality in addition to Object-oriented programming.

Lionel C. Briand works on Software which deals in particular with Software design. As part of the same scientific family, Lionel C. Briand usually focuses on Data mining, concentrating on Artificial intelligence and intersecting with Natural language processing. His biological study spans a wide range of topics, including System testing, Reliability engineering and Machine learning.

He most often published in these fields:

  • Software engineering (26.21%)
  • Software (19.08%)
  • Unified Modeling Language (19.59%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (15.78%)
  • Cyber-physical system (5.34%)
  • Machine learning (11.20%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Cyber-physical system, Machine learning, Requirements engineering and Software. His research integrates issues of Software requirements specification, Relevance and Online and offline in his study of Artificial intelligence. His studies deal with areas such as Domain, Programming language, Fragment, Automation and Data mining as well as Cyber-physical system.

Lionel C. Briand has researched Requirements engineering in several fields, including Metadata, Software system, Information retrieval and System testing, Software engineering. Lionel C. Briand performs integrative Software engineering and Product research in his work. He studies Feature interaction problem, a branch of Software.

Between 2018 and 2021, his most popular works were:

  • Test Generation and Test Prioritization for Simulink Models with Dynamic Behavior (27 citations)
  • Using Models to Enable Compliance Checking Against the GDPR: An Experience Report (17 citations)
  • Generating automated and online test oracles for Simulink models with continuous and uncertain behaviors (13 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Artificial intelligence
  • Operating system

Lionel C. Briand mainly focuses on Machine learning, Artificial intelligence, Test, Test case and Oracle. His study in the fields of Deep neural networks under the domain of Machine learning overlaps with other disciplines such as Dynamical systems theory. Lionel C. Briand has included themes like MATLAB and Correctness in his Artificial intelligence study.

His Test case research is multidisciplinary, relying on both Software verification, Misuse case, Supervised learning, Control flow and Software engineering. His studies in Oracle integrate themes in fields like Web system, Software system, Metamorphic testing, Internet security and System testing. His Reliability engineering research focuses on Implementation and how it connects with Scalability.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A validation of object-oriented design metrics as quality indicators

V.R. Basili;L.C. Briand;W.L. Melo.
IEEE Transactions on Software Engineering (1996)

2232 Citations

A unified framework for coupling measurement in object-oriented systems

L.C. Briand;J.W. Daly;J.K. Wust.
IEEE Transactions on Software Engineering (1999)

1153 Citations

Is mutation an appropriate tool for testing experiments

J. H. Andrews;L. C. Briand;Y. Labiche.
international conference on software engineering (2005)

1024 Citations

Property-based software engineering measurement

L.C. Briand;S. Morasca;V.R. Basili.
IEEE Transactions on Software Engineering (1996)

973 Citations

Exploring the relationship between design measures and software quality in object-oriented systems

Lionel C. Briand;Jürgen Wüst;John W. Daly;D. Victor Porter.
Journal of Systems and Software (2000)

874 Citations

A unified framework for cohesion measurement in object-oriented systems

L.C. Briand;J.W. Daly;J. Wust.
ieee international software metrics symposium (1997)

688 Citations

A practical guide for using statistical tests to assess randomized algorithms in software engineering

Andrea Arcuri;Lionel Briand.
international conference on software engineering (2011)

684 Citations

Dynamic coupling measurement for object-oriented software

E. Arisholm;L.C. Briand;A. Foyen.
IEEE Transactions on Software Engineering (2004)

493 Citations

Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

J.H. Andrews;L.C. Briand;Y. Labiche;A.S. Namin.
IEEE Transactions on Software Engineering (2006)

473 Citations

A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation

Shaukat Ali;Lionel C Briand;Hadi Hemmati;Rajwinder Kaur Panesar-Walawege.
IEEE Transactions on Software Engineering (2010)

470 Citations

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