no code implementations • 21 Jun 2022 • Afonso Fontes, Gregory Gay
Methods: We perform a systematic mapping on a sample of 124 publications.
no code implementations • 26 Oct 2021 • Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt
To illustrate how AI can support unit testing, this chapter introduces the concept of search-based unit test generation.
1 code implementation • 16 Sep 2021 • Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha
This paper presents the results of our proposed test generation technique in the 2021 IEEE Autonomous Driving AI Test Challenge.
no code implementations • 9 Sep 2021 • Alireza Salahirad, Gregory Gay, Ehsan Mohammadi
Aims: Based on keywords assigned to publications, we seek to identify predominant research topics and understand how they are connected and have evolved.
no code implementations • 9 Feb 2021 • Hussein Almulla, Gregory Gay
We propose that meeting such goals requires treating fitness function identification as a secondary optimization step.
no code implementations • 13 May 2020 • Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi
Machine learning (ML) frameworks and the systems developed using them differ greatly from traditional frameworks.