Title :
Predicting the software reliability of complex systems
Author :
Mirchandani, Chandru
Author_Institution :
Lockheed-Martin - IS&GS (Cvil) Rockville, MD, USA
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;
Conference_Titel :
Prognostics and Health Management (PHM), 2015 IEEE Conference on
Conference_Location :
Austin, TX, USA
DOI :
10.1109/ICPHM.2015.7245070
