Improved Technique by Integrating AHP-TOPSIS for Prioritization

Requirements prioritization is used to minimize risk during development of the software project, so that the most important requirements are implemented first. There are many prioritization techniques are available to prioritize the requirements, but  the problem relies on choosing an appropriate technique that are suitable for people to prioritize medium to large numbers of requirements. Value Based Requirement Prioritization (VBRP) is one of the most widely used technique in the industry since it yields an accurate result and requires less sum of instance. To execute VBRP, the method of arrange Preference by Similarity to Ideal Solution (TOPSIS) is used as a framework. The project may contain hundreds or even thousands of requirements. Generally, all the requirements do not contain equal user satisfaction. The requirement prioritization is the process of managing the relative importance and urgency of different requirement based on the multi-criteria decision making method. In this project multi-criteria decision making techniques through the integration of Real-code population –based incremental learning (RPBIL) algorithm with AHP and TOPSIS. In which the weights of each criteria are calculated by analytical hierarchical process (AHP) and the final ranking is achieved by Technique For Order Preference By Similarity To An Ideal Solution (TOPSIS)