首页|Exploration of DevOps testing process capabilities: An ISM and fuzzy TOPSIS analysis

Exploration of DevOps testing process capabilities: An ISM and fuzzy TOPSIS analysis

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DevOps is an emerging paradigm that refer to a collaborative culture of development and operation teams aiming to develop the high quality software product. Software organizations are adopting DevOps culture for software development and easy maintenance instead of using traditional SDLC mechanism. To enter the production stage, in DevOps process, the software product have to pass through quality gates were the software are tested during development phase to meet the established targeted criteria. This indicates that the mechanism of testing in DevOps process is not straightforward, and to establish strong DevOps testing platform there is a need to explore more automated testing practices. Thus, using multivocal literature review approach, we have selected 39 studies and identify the 20 testing capabilities. Finally, the interpretive structure modeling (ISM) and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) were applied. The results shows that (C2, CCi=0.808; C6, CCi=0.720; and C3, CCi=0.705) are top ranked testing capabilities. Using analysis results, we develop a holistic structure of testing capabilities to show their inter-relationship with each other and their priorities to select the best testing capabilities for DevOps process.

DevOpsFuzzy TOPSISISMMICMACTesting capabilities

Rafi S.、Akbar M.A.、Yu W.、Alsanad A.、Gumaei A.、Sarwar M.U.

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University of Murcia Department of Informatics and Systems

Lappeenranta-Lahti University of Technology Department of Information Technology

School of Cyber security and Information Law Chongqing University of Posts and Telecommunication Chongqing 400065

STC's Artificial Intelligence Chair Department of Information Systems College of Computer and Information Sciences King Saud University

College of Computer Science and Information Studies Government College University

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2022

Applied Soft Computing

Applied Soft Computing

EISCI
ISSN:1568-4946
年,卷(期):2022.116
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