Abstract—Design flaws are used as an indicator to identify problematic classes in object-oriented software systems and they directly decrease software quality, such as maintainability. It is unavoidable to use high maintenance cost with design flaw systems. Therefore such design flaws must be identified to avoid their possible negative consequences on development and maintenance of software systems. This paper proposes a new methodology for design flaws detection. Symbolic logic representation and analytical learning technique are used to diagnose design flaw problems in simple way and to extrapolate patterned rules for complex flaws. The methodology is validated by detecting design flaws in an open-source system. The results show expected precision and false positive.

Index Terms—design flaws, detection, object-oriented design, code smell, explanation-based learning.

Sakorn Mekruksavanich is with School of Information and Communication Technology, University of Phayao, Phayao, 56000 THAILAND (e-mail: sakorn.me@up.ac.th ).

Cite: Sakorn Mekruksavanich, "Design Flaws Detection in Object-Oriented Software with Analytical Learning Method," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 1, no. 3, pp. 210-216 , 2011.