A NOVEL APPROACH FOR OPTIMAL GROUPING OF REUSABLE SOFTWARE COMPONENTS FOR COMPONENT BASED SOFTWARE DEVELOPMENT SYSTEMS
Component Based Software (CBS) development is the assembling of already developed components and preparing for integration. For the last two decades, researchers have been concentrating much on CBS both in industry and academia, because CBS helps in the reduction of manpower, cost, software development time and better system maintainability. The selection of the best component from the large collection of components is a difficult task and only few researchers have addressed this issue so far by using optimization techniques. In this paper, we propose a new methodology to group the components effectively, based on the software architecture, by using fuzzy concepts. Again, Fuzzy Clustering Technique (FCT) is introduced to find the optimal grouping between the reusable components and the software architectures. The proposed model has the following advantages: (i) the proposed Fuzzy Weighted Relational Coefficient (FWRC) is used to measure the fuzzy relational value of the suggested 9 component parameters; (ii) A mathematical model is established to remove all less utility leveled components before grouping; (iii) FCT performs on newly developed similarity coefficient formula; (iv) Zero - One programming (optimization) technique is used to optimize the group; (v) Fuzzy Weighted Approach is used to find the dominant component among the component grouping, and (vi) Optimal grouping is achieved by the property, namely, maximizing the cohesion and minimizing the coupling when compared to other methods. Finally, the validation of the derived methodology is verified with sample Business Enterprise Applications.
component based software development fuzzy clustering technique similarity coefficient fuzzy weighted approach fuzzy relational coefficient business enterprise systems