Two-Dimensional Generalized Framework to Determine Optimal Release and Patching Time of a Software

Abstract

Demand for highly reliable software is increasing day by day which in turn has increased the pressure on the software firms to provide reliable software in no time. Ensuring high reliability of the software can only be done by prolonged testing which in result consumes more resources which is not feasible in the existing market situation. To overcome this, software firms are providing patches after software release so as to fix the remaining number of bugs and to give better product experience to users. An update/fix is a minor portion of software to repair the bugs. With such patches, organizations enhance the performance of the software. Delivering patches after release demands extra effort and resources which are costly and hence not economical for the firms. Also, early patch release might cause improper fixation of bugs, on the other hand, delayed release may increase the chances of more failure during the operational phase. Therefore, determining optimal patch release time is imperative. To overcome the above issues we have formulated a two-dimensional time and effort-based cost model to regulate the optimum release and patch time of software, so that the total cost is minimized. Proposed model is validated on a real life data set.

Change‐points‐based software scheduling

“…Chatterjee et al 4 proposed a cost model framework to check the impact of change-point and imperfect debugging on software reliability and its optimal release. Choudhary et al 5,6 proposed a framework to develop SRGM with change-point to determine the optimal release and patching time of a software. Minamino et al 29 developed an NHPP-based change-point modeling framework using environmental factor.…”