| Article ID: | iaor19926 |
| Country: | Switzerland |
| Volume: | 32 |
| Start Page Number: | 141 |
| End Page Number: | 163 |
| Publication Date: | Jul 1991 |
| Journal: | Annals of Operations Research |
| Authors: | Radermacher F.J., Ross S.M., Wee N.S. |
| Keywords: | stochastic processes |
This paper deals with the question of optimal debugging times for large-scale computer programs, given certain assumptions concerning the distribution of error within the program, the cost that is incurred whenever a fault occurs, and the cost of debugging. Modeling takes place within the framework of independent Poisson processes describing faults caused by errors. The optimization aim to minimize the long-run total expected discounted cost. Some general results concerning the optimal policy are presented.