Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code

Stefano Dalla Palma, Majid Mohammadi 0001, Dario Di Nucci, Damian A. Tamburri. Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code. In Foutse Khomh, Pasquale Salza, Gemma Catolino, editors, Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2020, Virtual Event, USA, November 13, 2020. pages 31-36, ACM, 2020. [doi]

No reviews for this publication, yet.