Description
Date depot: 1 octobre 2020
Titre: Improving software reliability and security using data-driven approaches
Directeur de thèse:
Aurelien FRANCILLON (Eurecom)
Encadrant :
Raphael TRONCY (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Intelligence artificielle
Resumé:
Companies would like to deploy new features quickly while having reliable and secure software. With the
increasing complexity of software systems, it becomes difficult to build reliable software test campaigns. Furthermore processing the large volume of data generated by test systems is challenging. Our work will first be focused on methodologies to extract information from logs with innovative approaches. Then we will propose to model software tests to allow automated root cause analysis of test failures. Finally our work will be focused on methods to ensure reliability and security of test campaigns. Mining software test campaigns is part of an increasing trend of using machine learning to improve software development.
Doctorant.e: Moriconi Florent