DocumentCode
672187
Title
Reliability assessment and prediction of open source software systems
Author
Singh, Jaskirat ; Maurya, L.S.
Author_Institution
Comput. Sci. Dept., SRMS CET, Bareilly, India
fYear
2013
fDate
9-11 Dec. 2013
Firstpage
6
Lastpage
11
Abstract
Affordability, redistributable, modifiability, availability of source code, zero price and freedom of choice are the characteristics which have made Open source (OS) a preferred platform for many software industries and individuals, who believe to use the power of high quality software. The technological motivation for OSS development directly relates to the software crisis, which clearly specifies that traditional development do not perform very effectively, specifically in the areas of speed, quality and cost of development. In this paper fact regarding open source software as well as different reliability concepts are elaborated. Practical implementation of OSS reliability modeling and decision making about product release has been done. For this purpose software performance measures Failure intensity, Mean Time to Failure (MTTF) and Reliability of three different open source software´s failure data sets are computed and analyzed. Comparative selection of best suited Software Reliability Growth Model (SRGM) among four SRGMs for concerned data sets have been done on the basis of two comparison parameters Bias and SSE.
Keywords
public domain software; software quality; software reliability; OSS development; OSS reliability modeling; SRGM; affordability attribute; availability attribute; decision making; failure intensity; freedom of choice attribute; high quality software; mean time to failure; modifiability attribute; open source software systems; redistributable attribute; reliability assessment; software crisis; software industries; software performance measures; software reliability growth model; zero price attribute; Computational modeling; Data models; Open source software; Predictive models; Software reliability; MTTF; OSS; SRGMs; assessment and prediction; comparison parameter; failure intensity; software reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Conference_Location
Shimla
Print_ISBN
978-1-4673-6099-9
Type
conf
DOI
10.1109/ICIIP.2013.6707544
Filename
6707544
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