AVAILABILITY-BASED SOFTWARE PERFORMABILITY ANALYSIS WITH OPERATION-ORIENTED RESTORATION AND IMPERFECT DEBUGGING
This paper discusses the stochastic software performability evaluation. The time-dependent behavior of the system is described by the Markov process. Then we incorporate the operation-oriented restoration scenario and the imperfect debugging environment into the model. Assuming that the system can process the multiple tasks simultaneously, we also consider the variety of tasks in terms of the task arrival process and the processing time limit. We describe the arrival process of the tasks follows a nonhomogeneous Poisson process and treat the processing time limit as a random variable. We analyze the distribution of the number of tasks whose processes can be completed with the infinite server queueing model. From the model, we derive several software performability measures considering the real-time property. Finally, we illustrate several numerical examples of these measures.
performability real-time property variety of tasks infinite-server queueing model software reliability growth operation-oriented restoration imperfect debugging
Koichi Tokuno Shigeru Yamada
Graduate School of Engineering, Tottori University, Tottori, 680-8552, Japan
国际会议
The Tneth International Conference on Industrial Management(第十届工业管理国际会议 ICIM 2010)
北京
英文
431-436
2010-09-16（万方平台首次上网日期，不代表论文的发表时间）