A Taxonomy of Software Delivery Performance Profiles: Investigating the Effects of DevOps Practices
Document Type
Conference Proceeding
Publication Date
8-10-2020
Publication Title
Proceedings of The Americas Conference on Information Systems 2020
Publisher
AIS
First page number:
1
Last page number:
6
Abstract
This research develops a taxonomy of Software Delivery Performance Profiles for DevOps development settings. We base the underlying Software Delivery Performance measure on the application of the Economic Order Quantity (EOQ) model to software development. Consistent with the objectives of both, development and operations departments, the measure includes attributes for throughput (release frequency and lead-time to delivery) and for stability (mean time to restore). Using a sample of 7,522 DevOps professionals globally, we conduct a hierarchical cluster analysis and find that the throughput and stability measures move in tandem and form three distinct Software Delivery Performance Profiles. Further analysis will show how the use of individual DevOps practices impacts Performance Profiles of development settings. When completed, the study will support the utility of DevOps and the effectiveness of individual DevOps practices.
Disciplines
Computer Sciences | Physical Sciences and Mathematics
Language
English
Repository Citation
Rothenberger, M.,
Forsgen, N.,
Humble, J.,
Thatcher, J. B.,
Smith, D.
(2020).
A Taxonomy of Software Delivery Performance Profiles: Investigating the Effects of DevOps Practices.
Proceedings of The Americas Conference on Information Systems 2020
1-6.