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A Software Performance Evaluation Model with Mixed Debugging Process
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 Title & Authors
A Software Performance Evaluation Model with Mixed Debugging Process
Jang, Kyu-Beom; Lee, Chong-Hyung;
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 Abstract
In this paper, we derive an software mixed debugging model based on a Markov process, assuming that the length of time to perform the debugging is random and its distribution may depend on the fault type causing the failure. We assume that the debugging process starts as soon as a software failure occurs, and either a perfect debugging or an imperfect debugging is performed upon each fault type. One type is caused by a fault that is easily corrected and in this case, the perfect debugging process is performed. An Imperfect debugging process is performed to fix the failure caused by a fault that is difficult to correct. Distribution of the first passage time and working probability of the software system are obtained; in addition, an availability function of a software system which is the probability that the software is in working at a given time, is derived. Numerical examples are provided for illustrative purposes.
 Keywords
Software availability;perfect debugging process;imperfect debugging process;mixed debugging process;
 Language
Korean
 Cited by
1.
Software Taskset Processing Evaluation Based on a Mixed Debugging Process,;;

Communications for Statistical Applications and Methods, 2012. vol.19. 4, pp.571-577 crossref(new window)
1.
Software Taskset Processing Evaluation Based on a Mixed Debugging Process, Communications for Statistical Applications and Methods, 2012, 19, 4, 571  crossref(new windwow)
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