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Artefact Consistency Management in DevOps Practice: A Survey

Artefact Consistency Management in DevOps Practice: A Survey

Dulani Meedeniya, Iresha Rubasinghe, Indika Perera
ISBN13: 9781799818632|ISBN10: 1799818632|ISBN13 Softcover: 9781799818649|EISBN13: 9781799818656
DOI: 10.4018/978-1-7998-1863-2.ch004
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MLA

Meedeniya, Dulani, et al. "Artefact Consistency Management in DevOps Practice: A Survey." Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, edited by Vishnu Pendyala, IGI Global, 2020, pp. 98-129. https://doi.org/10.4018/978-1-7998-1863-2.ch004

APA

Meedeniya, D., Rubasinghe, I., & Perera, I. (2020). Artefact Consistency Management in DevOps Practice: A Survey. In V. Pendyala (Ed.), Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities (pp. 98-129). IGI Global. https://doi.org/10.4018/978-1-7998-1863-2.ch004

Chicago

Meedeniya, Dulani, Iresha Rubasinghe, and Indika Perera. "Artefact Consistency Management in DevOps Practice: A Survey." In Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, edited by Vishnu Pendyala, 98-129. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1863-2.ch004

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Abstract

DevOps practices preserve the continuous innovation in software development. The collaborative nature and stakeholder communication are keys in DevOps that lead to highly effective and quality software outcomes with customer satisfaction. The software artefacts involved in a DevOps practice must adapt to frequent changes due to continuous stakeholder feedback. Hence, it is challenging to artefact consistency throughout the software life cycle. Although artefact traceability preserves the consistency management with theoretical support, there are practical limitations in traceability visualisation, change impact analysis, and change propagation aspects. This chapter presents an analysis of existing studies focused on software artefact traceability for the suitability in DevOps. It also identifies leading limitations and possible future research directions to resolve for the benefit of researchers and software practitioners.

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