Title
Predicting continuous integration build failures using evolutionary search
Abstract
Context: Continuous Integration (CI) is a common practice in modern software development and it is increasingly adopted in the open-source as well as the software industry markets. CI aims at supporting developers in integrating code changes constantly and quickly through an automated build process. However, in such context, the build process is typically time and resource-consuming which requires a high maintenance effort to avoid build failure.
Year
DOI
Venue
2020
10.1016/j.infsof.2020.106392
Information and Software Technology
Keywords
DocType
Volume
Continuous integration,Build prediction,Multi-Objective optimization,Search-Based software engineering,Machine learning
Journal
128
ISSN
Citations 
PageRank 
0950-5849
1
0.35
References 
Authors
57
4
Name
Order
Citations
PageRank
Islem Saidani143.09
Ali Ouni 0001221015.67
Moataz Chouchen372.84
Mohamed Wiem Mkaouer422828.58