Evaluation of quantitative and mining techniques for reducing software maintenance risks
Abdelrafe Elzamly, Burairah Hussin · Applied Mathematical Sciences · 2014
Software risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques that were performed using quantitative and mining techniques to compare the risk management techniques to each of the software maintenance risks to identify and model if they are effective in mitigating the occurrence of each software maintenance risk in software development life cycle. The model’s accuracy slightly improves in fuzzy multiple regression modelling techniques than or quite equal stepwise multiple regression modelling techniques. All models in fuzzy and stepwise acceptable value for MMRE less than 0.25 and Pred (0.25) greater or than 0.75 is desirable. The study has been conducted on a group of software project management. Successful software project risk management will greatly improve the probability of project success.