Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams

Article Details
Title:	Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams
Article URLs:	https://doi.org/10.1145/3106237.3117779
Alternative Article URLs:
Authors:	Hennie Huijgens	Delft University of Technology
	Robert Lamping	ING Bank CGI
	Dick Stevens	ING Bank
	Hartger Rothengatter	ING Bank
	Georgios Gousios	Delft University of Technology
	Daniele Romano	ING Bank
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key:	conf/sigsoft/HuijgensLSRGR17
Author Comments:

ACM Foundations of Software Engineering, FSE 2017