Software defect repair times: a multiplicative model
Proceedings of the 4th international workshop on Predictor models in software engineering
On modeling software defect repair time
Empirical Software Engineering
Linux bugs: Life cycle, resolution and architectural analysis
Information and Software Technology
Simulation of the defect removal process with queuing theory
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
A multiplicative model of software defect repair times
Empirical Software Engineering
Software reliability analysis and assessment using queueing models with multiple change-points
Computers & Mathematics with Applications
| Hi-index | 0.00 |
This paper explores a novel application of queuing theory to the corrective software maintenance problem to support quantitative balancing between resources and responsiveness. Initially, we provide a detailed description of the states a defect traverses from find to fix and a definition and justification of mean time to resolution as a useful process metric. We consider the effect of queuing system structures, priority levels and priority disciplines on the differential mean times to resolution of defects of different severities. We find that modeling the defect resolution capacity of a software engineering group as n identical M/M/1 servers provides a flexible and realistic approximation to the queuing behavior of four different organizations. We consider three queuing disciplines. Though purely preemptive and non-preemptive priority disciplines may be suited for other groups, our data was best fit by a mixed discipline, one in which only the most severe defects preempt ongoing service activities of lesser severities. We provide two examples of the utility of such a model: Given the reasonable assumption that the most severe defects have the highest impact on reliability, we find that the reduction of the resolution time for these defects must come from changes reducing the service time. On the other hand the effect of additional engineering resources on the resolution time of less severe defects is easily computed and can be significant.