Prioritization of DevOps Maturity models using Fuzzy TOPSIS

Ankur Kumar; Mohammad Nadeem; Mohammad Shameem

doi:10.1145/3593434.3594241

Prioritization of DevOps Maturity models using Fuzzy TOPSIS

Ankur Kumar
, Mohammad Nadeem
, Mohammad Shameem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.

Original language	English
Title of host publication	Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering
Publisher	Association for Computing Machinery
Pages	438-443
Number of pages	6
ISBN (Electronic)	9798400700446
DOIs	https://doi.org/10.1145/3593434.3594241
State	Published - 14 Jun 2023
Externally published	Yes
Event	27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023 - Oulu, Finland Duration: 14 Jun 2023 → 16 Jun 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023
Country/Territory	Finland
City	Oulu
Period	14/06/23 → 16/06/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

DevOps
DevOps maturity model
DevOps practices
Software development methods

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3593434.3594241

Cite this

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title = "Prioritization of DevOps Maturity models using Fuzzy TOPSIS",

abstract = "DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.",

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author = "Ankur Kumar and Mohammad Nadeem and Mohammad Shameem",

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day = "14",

doi = "10.1145/3593434.3594241",

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series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Kumar, A, Nadeem, M & Shameem, M 2023, Prioritization of DevOps Maturity models using Fuzzy TOPSIS. in Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 438-443, 27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023, Oulu, Finland, 14/06/23. https://doi.org/10.1145/3593434.3594241

Prioritization of DevOps Maturity models using Fuzzy TOPSIS. / Kumar, Ankur; Nadeem, Mohammad; Shameem, Mohammad.
Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. Association for Computing Machinery, 2023. p. 438-443 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Nadeem, Mohammad

AU - Shameem, Mohammad

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Y1 - 2023/6/14

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AB - DevOps has become an increasingly popular approach to software development and operations. DevOps has evolved rapidly in recent years, with numerous maturity models being proposed to help organizations assess their level of adoption and identify improvement areas. However, there is no consensus on which model is the most effective, as different models may be more suited to different organizational contexts. This paper compares six popular DevOps maturity models using the Fuzzy TOPSIS Multiple Criteria Decision Making (MCDM) methods. Fuzzy TOPSIS is a popular MCDM technique that can handle imprecise and uncertain information. We analyze each model based on seven criteria: Culture, Automation, Continuous Integration/Continuous Delivery, Monitoring and Feedback, Security, Metrics and Measurement, and Continuous Learning and Improvement, and determine which model is the most suitable according to industry standards. The analysis revealed that Radstaak's DevOps maturity model outperforms the others when evaluated through seven standard criteria for assessing maturity models.

KW - DevOps

KW - DevOps maturity model

KW - DevOps practices

KW - Software development methods

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DO - 10.1145/3593434.3594241

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BT - Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering

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ER -

Prioritization of DevOps Maturity models using Fuzzy TOPSIS

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this