Abstract
Code clones are repeated source code in a program. There are four types of code clone which are: Type 1, Type 2, Type 3 and Type 4. Various code clone detection models have been used to detect code clone. Generic Code Clone model is a model that consists of a combination of five processes in detecting code clone from Type-1 until Type-4 in Java Applications. The five processes are Pre-processing, Transformation, Parameterization, Categorization and Match Detection process. This work aims to improve code clone detection by enhancing the Generic Code Clone Detection (GCCD) model. Therefore, the Preprocessing and Parameterization process is enhanced to achieve this aim. The enhancement is to determine the best constant and weightage that can be used to improve the code clone detection result. The code clone detection result from the proposed enhancement shows that private with its weightage is the best constant and weightage for the Generic Code Clone Detection Model.
Highlights
Duplicated codes or better known as code clone are similar source codes that exist in a program [1,2,3]
Code clone occurrence depends on the deficiency of a programming language
Code clone detection models are recent development in the field of software clone and very little in terms of availability as tool, yet the existing code clone detection models have been a frontal movement in terms of having a combined process that detects code clone of the diverse code clone jargons and programming languages
Summary
Duplicated codes or better known as code clone are similar source codes that exist in a program [1,2,3]. Code clone detection models are recent development in the field of software clone and very little in terms of availability as tool, yet the existing code clone detection models have been a frontal movement in terms of having a combined process that detects code clone of the diverse code clone jargons and programming languages. An enhanced was proposed for this model by proposing a concatenation process, but it more focused on improving the time rather than improving the clone detection [25]. The disadvantage of this model is it only detect clones for Type-1 and Type-2.
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