Thomas Laurent

Orcid: 0000-0002-0953-774X

Affiliations:
  • University College Dublin, Ireland
  • Keio University, Yokohama, Japan (former)


According to our database1, Thomas Laurent authored at least 26 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty.
ACM Trans. Softw. Eng. Methodol., May, 2023

Adaptive Search-based Repair of Deep Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Modelling Android applications through static analysis and systematic exploratory testing.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

Investigating Multi- and Many-Objective Search for Stability-Aware Configuration of an Autonomous Delivery System.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Mutation-based analysis of queueing network performance models.
J. Syst. Softw., 2022

On the use of commit-relevant mutants.
Empir. Softw. Eng., 2022

JSIMutate: understanding performance results through mutations.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Re-visiting the coupling between mutants and real faults with Defects4J 2.0.
Proceedings of the 15th IEEE International Conference on Software Testing, 2022

The case for grammatical evolution in test generation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

The Forgotten Margins of AI Ethics.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Shake Those System Parameters! On the Need for Parameter Coverage for Decision Systems.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Parameter-Based Testing and Debugging of Autonomous Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021).
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
On the impact of timeouts and JVM crashes in Pitest.
Proceedings of the 13th IEEE International Conference on Software Testing, 2020

Commit-Aware Mutation Testing.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Achieving Weight Coverage for an Autonomous Driving System with Search-based Test Generation.
Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

2019
PIT-HOM: an Extension of Pitest for Higher Order Mutation Analysis.
Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

A Mutation-Based Approach for Assessing Weight Coverage of a Path Planner.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2017
Deployment strategies for crowdsourcing text creation.
Inf. Syst., 2017

RTA: A Framework for the Integration of Local and Relational Open Data.
Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

Assessing and Improving the Mutation Testing Practice of PIT.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Towards a Gamified Equivalent Mutants Detection Platform.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Fairness and Transparency in Crowdsourcing.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
Assessing and Improving the Mutation Testing Practice of PIT.
CoRR, 2016

PIT: a practical mutation testing tool for Java (demo).
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

The Influence of Crowd Type and Task Complexity on Crowdsourced Work Quality.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016


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