A SYSTEM DEBUGGING MODEL.
CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER
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The problem treated here deals with the debugging of a new complex system during the initial period of its total life. During this period failures and errors are corrected as they occur, with resulting improvement in subsequent performance of the system. One mathematical idealization of this process leads to the assumption that system failure rate is decreasing with time. In practice, the debugging phase is considered completed when the failure rate reaches an equilibrium or constant value. Models are formulated for this phenomenon. Maximum likelihood estimates are obtained for relevant failure rate functions and for the end of the debugging period. A conservative upper confidence bound on the stable failure rate is obtained. Author
- Operations Research
- Manufacturing and Industrial Engineering and Control of Production Systems