DocumentCode :
3472604
Title :
An improved model of software reliability growth under time-dependent learning effects
Author :
Chiu, Kuei-Chen
Author_Institution :
Department of Business Administration, Hsing Kuo University of Management, Taiwan, R.O.C.
fYear :
2011
fDate :
14-17 Sept. 2011
Firstpage :
191
Lastpage :
194
Abstract :
Over the last two decades, various software reliability growth models (SRGM) have been proposed, and there has been a gradual but marked shift in the balance between software reliability and software testing cost in recent years. Chiu and Huang (2008) provided a Software Reliability Growth Model from the Perspective of Learning Effects, which is able to reasonably describe the S-shaped and exponential-shaped types of behaviors simultaneously, and offers better performance when fitting different data with consideration of the learning effects. However, this earlier model assumes that the learning effects are constant. In contrast, this paper discusses a software reliability growth model with time-dependent learning effects.
Keywords :
Analytical models; Debugging; Mathematical model; Predictive models; Software; Software reliability; Testing; Learning Effects; Non-Homogeneous Poisson Process (NHPP); Reliability Growth; Software Reliability; Time-dependent Learning Effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality and Reliability (ICQR), 2011 IEEE International Conference on
Conference_Location :
Bangkok, Thailand
Print_ISBN :
978-1-4577-0626-4
Type :
conf
DOI :
10.1109/ICQR.2011.6031707
Filename :
6031707
Link To Document :
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