An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S)

AuthID
 P-00V-BP0
3
Author(s)
Sousa, A
·
1
Editor(s)
Chang,SK
Document Type
Proceedings Paper
Year published
2021
Published
in The 33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021, KSIR Virtual Conference Center, USA, July 1 - July 10, 2021. in SEKE, ISSN: 23259000
Volume: 2021-July, Pages: 217-222 (5)
Indexing
Scopus®
Dblp®/en/publications/view/896704
Crossref®
Google Scholar®
Publication Identifiers
DBLP: conf/seke/SousaFM21
SCOPUS: 2-s2.0-85114281019
Source Identifiers
ISSN: 23259000
Export Publication Metadata
Marked List
 Add to Marked List
Info
At this moment we don't have any links to full text documens.

A place for researchers and their institutions

Useful Links

Get Help

© 2024 CRACS & Inesc TEC - All Rights Reserved Privacy Policy | Terms of Service