Logo des Repositoriums
 

Towards Automatic Construction of Reusable Prediction Models for Component-Based Performance Engineering

dc.contributor.authorKappler, Thomas
dc.contributor.authorKoziolek, Heiko
dc.contributor.authorKrogmann, Klaus
dc.contributor.authorReussner, Ralf
dc.contributor.editorHerrmann, Korbinian
dc.contributor.editorBrügge, Bernd
dc.date.accessioned2019-05-06T09:37:03Z
dc.date.available2019-05-06T09:37:03Z
dc.date.issued2008
dc.description.abstractPerformance predictions for software architectures can reveal performance bottlenecks and quantitatively support design decisions for different architectural alternatives. As software architects aim at reusing existing software components, their performance properties should be included into performance predictions without the need for manual modelling. However, most prediction approaches do not include au- tomated support for modelling implemented components. Therefore, we propose a new reverse engineering approach, which generates Palladio performance models from Java code. In this paper, we focus on the static analysis of Java code, which we have implemented as an Eclipse plugin called Java2PCM. We evaluated our approach on a larger component-based software architecture, and show that a similar prediction accuracy can be achieved with generated models compared to completely manually specified ones.en
dc.identifier.isbn978-3-88579-215-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22223
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofSoftware Engineering 2008
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-121
dc.titleTowards Automatic Construction of Reusable Prediction Models for Component-Based Performance Engineeringen
dc.typeText/Conference Paper
gi.citation.endPage154
gi.citation.publisherPlaceBonn
gi.citation.startPage140
gi.conference.date18.-22.02.2008
gi.conference.locationMünchen
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
140.pdf
Größe:
292.33 KB
Format:
Adobe Portable Document Format