Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams-Reference-Cited by-同舟云学术

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

Published:2017-08-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
language:
Short-container-title:

Author:

Huijgens Hennie¹,Lamping Robert²,Stevens Dick³,Rothengatter Hartger³,Gousios Georgios¹,Romano Daniele³

Affiliation:

1. Delft University of Technology, Netherlands

2. ING Bank, Netherlands / CGI, Netherlands

3. ING Bank, Netherlands

Publisher

ACM

Link

Reference24 articles.

4. „State of DevOps Report ” Puppet 2016. „State of DevOps Report ” Puppet 2016.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bibliometric Analysis of DevOps Metrics;DESIDOC Journal of Library & Information Technology;2023-01-02

2. How Agile Organizations Use Metrics: A Systematic Literature Mapping;Proceedings of the XXI Brazilian Symposium on Software Quality;2022-11-07

4. KPI’s for Evaluation of DevOps Teams;Information Systems and Technologies;2022

5. Innovation evaluation framework using state transition probability of the product;2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW);2021-10