Logo des Repositoriums
 

Software Performance Anti-Patterns Observed and Resolved in Kieker

dc.contributor.authorWulf, Christian
dc.contributor.authorHasselbring, Wilhelm
dc.date.accessioned2023-03-13T10:09:54Z
dc.date.available2023-03-13T10:09:54Z
dc.date.issued2015
dc.description.abstractSoftware performance anti-patterns describe bad-practice solutions for particular problems. They help in sensitizing software engineering to such situations. In this paper, we focus on anti-patterns of monitoring and dynamic analysis frameworks, such as Kieker. These frameworks typically have high requirements on a low monitoring overhead and a high-throughput analysis performance. We describe three observed anti-patterns which influenced previous versions of Kieker with a high impact on the performance. Moreover, we present our solution for each of the anti-patterns.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40771
dc.language.isoen
dc.publisherGeselllschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 35, Heft 3
dc.subjectApplication Performance Monitoring
dc.subjectDynamic Analysis
dc.subjectKieker Framework
dc.subjectPerformance Anti-Patterns
dc.titleSoftware Performance Anti-Patterns Observed and Resolved in Kiekeren
dc.typeText/Journal Article
gi.citation.publisherPlaceBonn
gi.conference.sessiontitleSonderteil: Proceedings of the Symposium on Software Performance (SSP) 2015, 4. - 6. November 2015, Munich, Germany

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
SSP_2015_paper_9.pdf
Größe:
214.85 KB
Format:
Adobe Portable Document Format