PREDICTION OF SOFTWARE RELIABILITY USING COBB- DOUGLAS MODEL IN SRGM

Software reliability refers to the likelihood of software to function without failure for a specified duration of time under few conditions. Software testing indicates the process that identifies the faults in totality and worth of developed computer software. Yet, running software testing for a longer period will not result in bug free software and high reliability. Further, good quality software will be ensured with an optimum amount of code. The amount of faults eradicated will not depend on testing time alone. Hence, a two dimensional software reliability growth model is being proposed, which makes use of Cobb- Douglas production function that includes testing time and testing coverage effects on the number of faults removed in the software system. Complete elimination of faults from software is impossible because of software complexity and nature of testing team. This event is termed as imperfect debugging. Error generation is defined as the process in which the faults are imperfectly removed and additional faults emerge from these existing faults. An S-shaped model with imperfect debugging and fault generation is being developed in this paper to provide solutions for the problems associated with software testing.

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