DocumentCode :
707553
Title :
A statistical view of software reliability and modeling
Author :
Phogat, Sangeeta ; Sharma, Kapil
Author_Institution :
Comput. Eng. Dept., Delhi Technol. Univ., New Delhi, India
fYear :
2015
fDate :
11-13 March 2015
Firstpage :
1726
Lastpage :
1730
Abstract :
Reliability is the probability of success of a system within the mission time. There is a requirement of applying Reliability to a computer system. Software, hardware, and procedure reliability modeling and prediction have gained significant attention by the researchers over the past decades, a lot of research has been done towards hardware reliability, but relatively less research has been dedicated to studying the contribution of the human element of reliability engineering. This paper surveys what are the major keys for understanding software reliability, factors affecting software reliability, how we can design reliability in software and what are the best data collection techniques for reliability estimation. Research scholars will be benefited from this paper to understand reliability concept.
Keywords :
software reliability; statistical analysis; computer system; data collection techniques; reliability engineering; reliability estimation; software modeling; software reliability modeling; statistical method; Erbium; Phase shift keying; MTBF; MTTF; MTTR; NHPP; SRGMs; Software Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
Type :
conf
Filename :
7100543
Link To Document :
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