Release Time Problem Incorporating the Effect of Imperfect Debugging and Fault Generation: An Analysis for Multi-Upgraded Software System

In the field of software engineering, optimal scheduling of software is a well-studied concept. However, attention to cost analysis in the field of multi-upgradation is still limited to certain well- known works. In the present work, a mathematical framework for multi-upgraded software under the concept of imperfect debugging has been analyzed. With due consideration of the fact that upgraded version might contain some newly generated bugs and few latent bugs of its preceding version, the cost components have been designed in accordance. The parameter estimates of multi-upgraded software under the influence of imperfect fault removal process are used for optimal determination of release time. For validation purpose, a numerical illustration has been carried out on three releases of software and the optimal release time is estimated accordingly.

A Proposed Fuzzy Optimization Technique for Software Release Time Problem

Reliability is very important in software system to maintain the trust of the customer. At the same time, the software needs to be developed within the time and budget constraint, as software developed with excess budget or taking too much time will affect the entire system. Therefore, it is of prime importance to release the software under the stipulated time without wastage of the budget or impacting reliability of the system. Present work proposes a fuzzy logic approach to find the release time of the software. Current study focuses on a fuzzy model with two fuzzy inputs and one output. The inputs of the fuzzy model are reliability and cost and time is the output. Mamdani Inference System is used to map inputs to outputs. The optimization problem proposed in this study is tested and also validated on the real-time dataset taken from Industry. The results of experiment show that the proposed model gives better time as compared with the models described in the literature. This proposed model can be utilized as a competency model to predict the estimated time of release of any new software.