DocumentCode
2098997
Title
Predicting the software reliability of complex systems
Author
Mirchandani, Chandru
Author_Institution
Lockheed-Martin - IS&GS (Cvil) Rockville, MD, USA
fYear
2015
fDate
22-25 June 2015
Firstpage
1
Lastpage
5
Abstract
With the maturity of Software system and a statistically sufficient data base for software failures and the operating hours, it is possible to develop an adaptive model for predicting the RMA relevant software failures based on historical and most recent information and fitting a distribution to the data. This paper will describe the methodology used to predict the software system reliability at a given milestone taking into account the testing cycles and the failure detection processes.
Keywords
Data models; Predictive models; Software reliability; Software systems; Testing; Failure Exposure Rate; RMA; maturity; milestone; problem reports; reliability; software system;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and Health Management (PHM), 2015 IEEE Conference on
Conference_Location
Austin, TX, USA
Type
conf
DOI
10.1109/ICPHM.2015.7245070
Filename
7245070
Link To Document