Reducing redundancy of test cases generation using code smell detection and refactoring | Zendy

Rosziati Ibrahim | Zendy; Maryam Ahmed | Zendy; Richi Nayak | Zendy; Sapiee Jamel | Zendy

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Reducing redundancy of test cases generation using code smell detection and refactoring

Author(s) -

Rosziati Ibrahim,

Maryam Ahmed,

Richi Nayak,

Sapiee Jamel

Publication year - 2018

Publication title -

journal of king saud university - computer and information sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.617

H-Index - 33

eISSN - 2213-1248

pISSN - 1319-1578

DOI - 10.1016/j.jksuci.2018.06.005

Subject(s) - code refactoring , computer science , maintainability , software quality , redundancy (engineering) , reliability engineering , software development , test case , code coverage , systems development life cycle , source code , software maintenance , software , software engineering , software construction , embedded system , programming language , operating system , engineering , regression analysis , machine learning

In software development life cycle (SDLC), the testing phase is important to test the functionalities of any software. In this phase, test cases are generated to test software functionalities. This paper presents an approach on how to detect and refactor code smells from the source codes of an Android application in order to reduce the redundancy in test case generation. Refactoring is one of the vital activities in software development and maintenance. Refactoring is a process of code alteration that aims to make structural modifications to the source code without altering any external functionality. These changes often improve software quality such as readability, execution time and maintainability. The proposed approach is then implemented and evaluated in order to determine its effectiveness in reducing the redundancy of test case generation.

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