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A Liskov Substitution Based Hoarse Rules for Efficient Code Duplication on Object Oriented Systems

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Designing of the Software engineering principles considerably reduce the software complexity on application projects. A critical issue of utilizing software engineering principles is to avoid the code duplication on object-oriented systems. However, traditional methods on software engineering suffer problems such as code duplication on object oriented systems compromising the code duplication efficiency and software quality rate. In this paper, a method to avoid code duplication on object oriented architectural design called Liskov Substitution Software principle with DupCode Removal (LSSP-DR) is employed. LSSP-DR method detects duplicated code in the application project using the Strong Object Code behavioral properties. Strong Object Code behavioral properties restructure the code based on the behaviors of internal object oriented method processing. Strong Object Code behavioral properties use the Hoare Software Logical rules to fetch the resultant code property. Hoare Software Logical rules in LSSP-DR detect the duplication by running the piece of each module in system software. Liskov Substitution Software principle with DupCode Removal method clearly detects the duplicated code and improves the software quality rate on application projects. The experimental results based on the software program code show the outperformance of LSSP-DR method over state-of-the-art methods. In particular, using LSSP-DR method to avoid code duplication not only results in the improvement of code duplication detection, but also requires the least code duplicate removal time. Experimental analysis shows that LSSP-DR method is able to reduce the duplicate code removal time by 26.97% and improves the duplicate code detection accuracy by 11.82% compared to the state-of-the-art works.

Keywords: Code Duplication; DupCode Removal; Hoare Software Logical Rules; Liskov Substitution Software; Object-Oriented Systems

Document Type: Research Article

Affiliations: 1: Department of CSE, Noorul Islam University, 629163, Tamilnadu, india 2: Department of MCA, Noorul Islam University, 629163, Tamilnadu, India

Publication date: 01 November 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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