Software Reliability
Ajit Kumar Verma (),
Srividya Ajit () and
Durga Rao Karanki ()
Additional contact information
Ajit Kumar Verma: Stord/Haugesund University College
Srividya Ajit: Stord/Haugesund University College
Durga Rao Karanki: Paul Scherrer Institute
Chapter Chapter 6 in Reliability and Safety Engineering, 2016, pp 183-217 from Springer
Abstract:
Abstract The role of software has dramatically increased in the recent past. The importance of software reliability is emphasized with the examples of past failures in safety critical systems. Software reliability is considerably different from hardware reliability, for instance, the former does not wear out but only obsolete. This chapter explains the concepts of software reliability engineering including software reliability models and its implementation process. The classification of software reliability models based on a literature survey is presented. A prediction model that is based on neural networks is also discussed, which overcomes some of the limitations of the classical approaches. A case study on mobile phone software is given to enhance the understanding of the software reliability concepts.
Keywords: Software Reliability; Reliability Growth; Component Analysis Network; Capability Maturity Model Integration; Project Execution (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-6269-8_6
Ordering information: This item can be ordered from
http://www.springer.com/9781447162698
DOI: 10.1007/978-1-4471-6269-8_6
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().