An Essence of Software Maintenance Prediction Using the Fuzzy Model for Aspect Oriented Software

Software maintenance is generally used to refer the changes that are made to software after its initial release, installation and operation. In several research it has proven that maintenance involve more than 40 percent of the total cost of the software. External quality factors assessments were always in light from the beginning of the software engineering research and related to internal quality attributes. Several research papers used the internal attributes to derive the external attributes and their relationship have been discussed and validated in several quality models related research papers. This paper considered the major factors that affect software maintenance for Aspect Oriented Software’s and divide them into four categories: Separation of Concern, Cohesion, Coupling and Size. Based on the identified factors, a fuzzy model to predict the software maintenance have been proposed and validated for aspect oriented software. Automated software maintainability examination to guide software related decision’s was always in great demand and has been applied from procedural, object oriented to component based software engineering. In this paper a model to predict the maintainability has been proposed and validated using the fuzzy logic for automation of maintainability prediction for AO software.