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Architectural Runtime Modeling and Visualization for Quality-Aware Devops in Cloud Applications.
Heinrich, Robert, Zirkelbach, Christian and Jung, Reiner (2017) Architectural Runtime Modeling and Visualization for Quality-Aware Devops in Cloud Applications. [Paper] In: 2017 IEEE International Conference on Software Architecture (ICSA 2017). , April 3-7, 2017, Gothenburg, Sweden . 2017 IEEE International Conference on Software Architecture Workshops (ICSAW). ; pp. 199-201 .
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ICSA2017_preprint.pdf - Accepted Version Download (57kB) | Preview |
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1 - Introduction.pdf - Presentation Download (198kB) | Preview |
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2 - Study Foundations.pdf - Presentation Download (177kB) | Preview |
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3 - Model-based Software Application Monitoring.pdf - Presentation Download (388kB) | Preview |
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4 - Runtime Architecture Modeling and Visualization.pdf - Presentation Download (846kB) | Preview |
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5 - ExplorViz.pdf - Presentation Download (1MB) | Preview |
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6 - Palladio.pdf - Presentation Download (1MB) | Preview |
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7 - Study.pdf - Presentation Download (59kB) | Preview |
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8 - Database Visualization.pdf - Presentation Download (1MB) | Preview |
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9 - Feedback.pdf - Presentation Download (73kB) | Preview |
Abstract
In this paper, we present a tutorial on modeling and visualizing software architectures in form of architectural runtime models to support quality-aware DevOps in cloud applications. The tutorial is held in context of the 2017 14th IEEE International Conference on Software Architecture to share our findings and experiences with conference participants and give them the opportunity to expand their knowledge and skills on software architecture modeling, visualization, and analysis in development and operations.
Document Type: | Conference or Workshop Item (Paper) |
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Research affiliation: | HGF-KIT Kiel University > Software Engineering OceanRep > The Future Ocean - Cluster of Excellence |
Related URLs: | |
Projects: | ExplorViz, iObserve |
Date Deposited: | 04 Apr 2017 17:00 |
Last Modified: | 23 Sep 2019 21:50 |
URI: | https://oceanrep.geomar.de/id/eprint/37439 |
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