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Failure Size Proportional Models and an Analysis of Failure Detection Abilities of Software Testing Strategies

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2 Author(s)
Zachariah, B. ; Shahu Central Inst. of Bus. Educ. & Res., Kolhapur ; Rattihalli, R.N.

This paper combines two distinct areas of research, namely software reliability growth modeling, and efficacy studies on software testing methods. It begins by proposing two software reliability growth models with a new approach to modeling. These models make the basic assumption that the intensity of failure occurrence during the testing phase of a piece of software is proportional to the s-expected probability of selecting a failure-causing input. The first model represents random testing, and the second model represents partition testing. These models provide the s-expected number of failures over a period, which in turn is used in analyzing the failure detection abilities of testing strategies. The specific areas of investigation are *) conditions that enable partition testing yielding optimal results, and) comparison between partition testing and random testing in terms of efficacy

Published in:

Reliability, IEEE Transactions on  (Volume:56 ,  Issue: 2 )

Date of Publication:

June 2007

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