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A DCA-based method for software prognostics and health management
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Industriell ekonomi. Högskolan i Gävle, Centrum för logistik och innovativ produktion. Reliability Engineering Center, Guizhou University, Guiyang, China . (Industriell ekonomi)
Guizho University.
2012 (engelsk)Inngår i: Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012, 2012, s. 6228830-Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In recent years, the prognostics and health management (PHM) technique has greatly been developed especially for electronic devices and systems. Little work, however, has been done on PHM techniques for software systems. During their total lifecycle, the software systems, due to various reasons such as new requirements or changes in technology, have to experience changes that can lead to a degeneration of the system's architecture. Therefore, it is important and necessary to identify and predict the software health status in order to avoid serious degeneration or erosion of system's architecture. In this paper, a software PHM approach based on Discriminant Coordinates Analysis (DCA) is proposed, and the health status of software systems is suggested to be categorized into five groups: Healthy, Normal, Sub-healthy, Unhealthy and Deteriorated. The proposed model based on software design metrics can help managers and developers predict and identify the software health status. Numerical example based on simulation data is given to illustrate its application on the modeling process.

sted, utgiver, år, opplag, sider
2012. s. 6228830-
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-15388DOI: 10.1109/PHM.2012.6228830Scopus ID: 2-s2.0-84866167939ISBN: 978-1-4577-1909-7 (tryckt)OAI: oai:DiVA.org:hig-15388DiVA, id: diva2:650557
Konferanse
3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012, Beijing, 23-25 May 2012
Tilgjengelig fra: 2013-09-23 Laget: 2013-09-23 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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