Title: A maturity model for DevOps

Authors: Daniel Teixeira; Rúben Pereira; Telmo Henriques; Miguel Mira Da Silva; João Faustino; Miguel Silva

Addresses: Instituto Universitário de Lisboa (ISCTE-IUL), Department of Information Science and Technology, Lisbon, 1649-026, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), Department of Information Science and Technology, Lisbon, 1649-026, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), Department of Information Science and Technology, Lisbon, 1649-026, Portugal ' Universidade de Lisboa – Instituto Superior Técnico (IST), Department of Computer Science and Engineering, Lisbon, 1049-001, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), Department of Information Science and Technology, Lisbon, 1649-026, Portugal ' Instituto Universitário de Lisboa (ISCTE-IUL), Department of Information Science and Technology, Lisbon, 1649-026, Portugal

Abstract: Nowadays, businesses aim to respond to customer needs at unprecedented speed. Thus, many companies are rushing to the DevOps movement. DevOps is the combination of Development and Operations and a new way of thinking in the software engineering domain. However, no common understanding of what it means has yet been achieved. Also, no adoption models or fine-grained maturity models to assist DevOps maturation and implementation were identified. Therefore, this research attempt to fill these gaps. A systematic literature review is performed to identify the determining factors contributing to the implementation of DevOps, including the main capabilities and areas with which it evolves. Then, two sets of interviews with DevOps experts were performed and their experience used to build the DevOps Maturity Model. The DevOps maturity model was then developed grounded on scientific and professional viewpoints. Once developed the Maturity Model was demonstrated in a real organisation.

Keywords: DevOps; maturity model; CMMI; practices; capabilities; areas; systematic literature review; interviews; definition; design science research.

DOI: 10.1504/IJASM.2020.112343

International Journal of Agile Systems and Management, 2020 Vol.13 No.4, pp.464 - 511

Received: 01 Feb 2020
Accepted: 01 Jul 2020
Published online: 12 Jan 2021 *

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