The Influence of Crowd Type and Task Complexity on Crowdsourced Work Quality. - Ria Mae Borromeo; Thomas Laurent 003; Motomichi Toyama (IDEAS, 2016)

PIT: a practical mutation testing tool for Java (demo). - Henry Coles; Thomas Laurent 003; Christopher Henard; Mike Papadakis; Anthony Ventresque (ISSTA, 2016)

Assessing and Improving the Mutation Testing Practice of PIT. - Thomas Laurent 003; Anthony Ventresque; Mike Papadakis; Christopher Henard; Yves Le Traon (CoRR, 2016)

Fairness and Transparency in Crowdsourcing. - Ria Mae Borromeo; Thomas Laurent 003; Motomichi Toyama; Sihem Amer-Yahia (EDBT, 2017)

Towards a Gamified Equivalent Mutants Detection Platform. - Thomas Laurent 003; Laura Guillot; Motomichi Toyama; Ross Smith 002; Dan Bean; Anthony Ventresque (ICST Workshops, 2017)

Assessing and Improving the Mutation Testing Practice of PIT. - Thomas Laurent 003; Mike Papadakis; Marinos Kintis; Christopher Henard; Yves Le Traon; Anthony Ventresque (ICST, 2017)

RTA: A Framework for the Integration of Local and Relational Open Data. - Yusuke Kosaka; Shu Murakami; Thomas Laurent 003; Kento Goto; Motomichi Toyama (IDEAS, 2017)

Deployment strategies for crowdsourcing text creation. - Ria Mae Borromeo; Thomas Laurent 003; Motomichi Toyama; Maha Alsayasneh; Sihem Amer-Yahia; Vincent Leroy 001 (Inf. Syst., 2017)

A Mutation-Based Approach for Assessing Weight Coverage of a Path Planner. - Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa; Anthony Ventresque (APSEC, 2019)

PIT-HOM: an Extension of Pitest for Higher Order Mutation Analysis. - Thomas Laurent 003; Anthony Ventresque (ICST Workshops, 2019)

Achieving Weight Coverage for an Autonomous Driving System with Search-based Test Generation. - Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa; Anthony Ventresque (ICECCS, 2020)

Commit-Aware Mutation Testing. - Wei Ma; Thomas Laurent 003; Milos Ojdanic; Thierry Titcheu Chekam; Anthony Ventresque; Mike Papadakis (ICSME, 2020)

On the impact of timeouts and JVM crashes in Pitest. - Thomas Laurent 003; Fionnuala Wall; Anthony Ventresque (ICST Workshops, 2020)

Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021). - Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa; Anthony Ventresque (GECCO Companion, 2021)

Parameter-Based Testing and Debugging of Autonomous Driving Systems. - Paolo Arcaini; Alessandro Calò; Fuyuki Ishikawa; Thomas Laurent 003; Xiao-Yi Zhang 005; Shaukat Ali 001; Florian Hauer 002; Anthony Ventresque (IV Workshops, 2021)

Shake Those System Parameters! On the Need for Parameter Coverage for Decision Systems. - Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa; Anthony Ventresque (ASE, 2021)

The Forgotten Margins of AI Ethics. - Abeba Birhane; Elayne Ruane; Thomas Laurent 003; Matthew S. Brown; Johnathan Flowers; Anthony Ventresque; Christopher L. Dancy (FAccT, 2022)

The case for grammatical evolution in test generation. - Aidan Murphy; Thomas Laurent 003; Anthony Ventresque (GECCO Companion, 2022)

Re-visiting the coupling between mutants and real faults with Defects4J 2.0. - Thomas Laurent 003; Stephen Gaffney; Anthony Ventresque (ICST Workshops, 2022)

JSIMutate: understanding performance results through mutations. - Thomas Laurent 003; Paolo Arcaini; Catia Trubiani; Anthony Ventresque (ESEC/SIGSOFT FSE, 2022)

On the use of commit-relevant mutants. - Milos Ojdanic; Wei Ma; Thomas Laurent 003; Thierry Titcheu Chekam; Anthony Ventresque; Mike Papadakis (Empir. Softw. Eng., 2022)

Mutation-based analysis of queueing network performance models. - Thomas Laurent 003; Paolo Arcaini; Catia Trubiani; Anthony Ventresque (J. Syst. Softw., 2022)

Investigating Multi- and Many-Objective Search for Stability-Aware Configuration of an Autonomous Delivery System. - Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa; Hirokazu Kawamoto; Kaoru Sawai; Eiichi Muramoto (APSEC, 2023)

Modelling Android applications through static analysis and systematic exploratory testing. - Jordan Doyle; Thomas Laurent 003; Anthony Ventresque (DSA, 2023)

Adaptive Search-based Repair of Deep Neural Networks. - Davide Li Calsi; Matias Duran; Thomas Laurent 003; Xiao-Yi Zhang 005; Paolo Arcaini; Fuyuki Ishikawa (GECCO, 2023)

Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty. - Thomas Laurent 003; Stefan Klikovits; Paolo Arcaini; Fuyuki Ishikawa; Anthony Ventresque (ACM Trans. Softw. Eng. Methodol., 2023)

Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications. - Deyun Lyu; Zhenya Zhang; Paolo Arcaini; Fuyuki Ishikawa; Thomas Laurent 003; Jianjun Zhao 001 (GECCO, 2024)

Federated Repair of Deep Neural Networks. - Davide Li Calsi; Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa (DeepTest@ICSE, 2024)

More is Not Always Better: Exploring Early Repair of DNNs. - Andrei Mancu; Thomas Laurent 003; Franz Rieger; Paolo Arcaini; Fuyuki Ishikawa; Daniel Rueckert (DeepTest@ICSE, 2024)

Metamorphic Testing of an Autonomous Delivery Robots Scheduler. - Thomas Laurent 003; Paolo Arcaini; Xiaoyi Zhang 005; Fuyuki Ishikawa (ICST, 2024)

PADRAIG: Precise Android Automated Input Generation. - Jordan Doyle; Thomas Laurent 003; Anthony Ventresque (QRS, 2024)

Alternating Between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System. - Chin-Hsuan Sun; Thomas Laurent 003; Paolo Arcaini; Fuyuki Ishikawa (SANER, 2024)