23 lines
1.6 KiB
Markdown
23 lines
1.6 KiB
Markdown
date:: [[16-10-2020]]
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publisher:: ACM
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place:: Virtual Event Canada
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conference-name:: MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems
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proceedings-title:: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
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isbn:: 978-1-4503-8135-2
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doi:: 10.1145/3417990.3420203
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title:: @DevOpsML: towards modeling DevOps processes and platforms
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pages:: 1-10
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item-type:: [[ConferencePaper]]
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access-date:: 2023-05-17T09:27:08Z
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original-title:: DevOpsML: towards modeling DevOps processes and platforms
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language:: en
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url:: https://dl.acm.org/doi/10.1145/3417990.3420203
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short-title:: DevOpsML
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authors:: [[Alessandro Colantoni]], [[Luca Berardinelli]], [[Manuel Wimmer]]
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library-catalog:: DOI.org (Crossref)
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links:: [Local library](zotero://select/library/items/PWP8IBBC), [Web library](https://www.zotero.org/users/1039502/items/PWP8IBBC)
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- [[Abstract]]
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- DevOps and Model Driven Engineering (MDE) provide differently skilled IT stakeholders with methodologies and tools for organizing and automating continuous software engineering activities–from development to operations, and using models as key engineering artifacts, respectively. Both DevOps and MDE aim at shortening the development life-cycle, dealing with complexity, and improve software process and product quality.
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- [[Attachments]]
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- [Colantoni et al. - 2020 - DevOpsML towards modeling DevOps processes and pl.pdf](zotero://select/library/items/32332MP9) {{zotero-imported-file 32332MP9, "Colantoni et al. - 2020 - DevOpsML towards modeling DevOps processes and pl.pdf"}} |