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Leveraging Palladio for Performance Awareness in the IETS 3 Integrated Specification Environment

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dc.contributor.authorKeller, Fabian
dc.contributor.authorVölter, Markus
dc.contributor.authorvan Hoorn, André
dc.contributor.authorBirken, Klaus
dc.date.accessioned2023-03-02T13:44:28Z
dc.date.available2023-03-02T13:44:28Z
dc.date.issued2016
dc.description.abstractPerformance is an important concern when designing and implementing software-intensive systems. Various techniques are available for specifying and evaluating performance concerns throughout the system Performance is an important concern when designing and implementing software-intensive systems. Various techniques are available for specifying and evaluating performance concerns throughout the system life-cycle. However, there is a gap in terms of tooling when moving between requirements, design, and implementation artifacts. We address this gap by integrating simulation-based and analytical performance prediction tools into IETS3 — an integrated specification environment for technical software systems based on the JetBrains MPS language workbench. In this paper, we provide an overview of our work in progress on integrating performance awareness support into the IETS3 editor and user interface. We leverage Palladio’s prediction infrastructure by transforming to Palladio’s modeling language to obtain performance predictions, which are then fed back into the IETS3 user interface. The approach yields a tight integration of the requirements and the design of a system strengthened by a real-time feedback loop.b life-cycle. However, there is a gap in terms of tooling when moving between requirements, design, and implementation artifacts. We address this gap by integrating simulation-based and analytical performance prediction tools into IETS3 — an integrated specification environment for technical software systems based on the JetBrains MPS language workbench. In this paper, we provide an overview of our work in progress on integrating performance awareness support into the IETS3 editor and user interface. We leverage Palladio’s prediction infrastructure by transforming to Palladio’s modeling language to obtain performance predictions, which are then fed back into the IETS3 user interface. The approach yields a tight integration of the requirements and the design of a system strengthened by a real-time feedback loop.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40637
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 36, Heft 4
dc.titleLeveraging Palladio for Performance Awareness in the IETS 3 Integrated Specification Environmenten
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleSonderteil: Proceedings of the Symposium on Software Performance (SSP 2016), 8. - 9. November 2016, Kiel

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Softwaretechnik-Trends 36(4) - 2016