A Fuzzy Approach for the Maintainability Assessment of Aspect Oriented Systems

Maintainability of the software is well-thought-out as one of the vital quality that software should possess according to ISO standards. Software Maintainability Assessment (SMA) of aspect oriented software has been a focus of research for some time. Statistical and machine learning approaches have been used for assessing the maintainability of software. Fuzzy logic acts as an alternative approach to SMA of aspect oriented systems. Fuzzy logic has emerged as an important tool for use in a variety of applications that range from control system engineering to the design of automated intelligence systems. Fuzzy logic has the ability to deal with uncertainty and multivalued data and does not rely on historic data. This characteristic of data free model building enhances the prospect from using fuzzy logic for software metrics. The paper presents a fuzzy logic based algorithm for SMA of aspect oriented systems.