Stage Master2 Informatique (H/F) - Combinatorial testing for autonomous vehicles

Description du Poste

Les Missions

Master 2 Internship - Combinatorial testing for autonomous vehicles
Title : Combinatorial testing for autonomous vehicles
Supervisors : Jérémie Guiochet (homepages.laas.fr/guiochet), Hélène Waeselynck (homepages.laas.fr/waeselyn/)
Profile : Computer science
Level : Master 2 (Msc)
Duration : 5-6 months
Location : LAAS-CNRS, Toulouse, France (www.laas.fr)
Salary : env. 600e/month

Producing test cases (or test scenarios) to validate a system under test has been a major challenge in the testing community for decades. This challenge has become even more important with the emergence of autonomous vehicules, which can be evaluated using high-fidelity 3D simulators. Test case generation and selection pipelines have been extensively studied and developed in many domains, including automotive systems and robotics. They generally follow a common structure, starting from a high-level test specification and producing concrete test cases, i.e., the data injected into the system under test (e.g., the software of the autonomous vehicle). However, the choice of which scenarios should be selected for performing the test is still an open challenge, and different strategies are studied. Among them, the t-way selection, based on a combinatorial exploration of the parameters values (when t=2, it is called the pair-wise testing), is of high exploration but still limited to simple test case structures.

The objective of this internship is to investigate how t-way combinatorial testing can be integrated into TAF (https://wp.laas.fr/taf), a framework developed at LAAS-CNRS for generating structured test cases under constraints. Although combinatorial testing has already been applied to autonomous-vehicle testing, its integration into a TAF-based workflow raises specific questions about parameter selection, constraints, and coverage of complex test specifications. These questions will be investigated through a case study involving the generation and selection of test scenarios for autonomous-driving software evaluated in CARLA (https://carla.org/).

Application : CV + cover letter + transcripts of records for the last two academic years on the website :
https://www.laas.fr/fr/offres/master-2-internship-subject-combinatorial-testing-for-autonomous-vehicles/

Votre Profil

Computer Science

Votre Environnement de Travail

Description de l'employeur

www.laas.fr

Rémunération et avantages

Rémunération

Congés et RTT annuels

44 jours

Pratique et Indemnisation du TT

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

À propos de l’offre

À propos du CNRS

Le CNRS est un acteur majeur de la recherche fondamentale à une échelle mondiale. Le CNRS est le seul organisme français actif dans tous les domaines scientifiques. Sa position unique de multi-spécialiste lui permet d’associer les différentes disciplines pour affronter les défis les plus importants du monde contemporain, en lien avec les acteurs du changement.

Le CNRS

Les métiers de la recherche