A Method for Detecting Bad Smells and ITS Application to Software Engineering Education

Author

Ito, Yu ; Hazeyama, Atsuo ; Morimoto, Yuuki ; Kaminaga, Hiroaki ; Nakamura, Shigenari ; Miyadera, Youzou

Author_Institution

Fac. of Educ., Tokyo Gakugei Univ., Tokyo, Japan

fYear

2014

fDate

Aug. 31 2014-Sept. 4 2014

Firstpage

670

Lastpage

675

Abstract

In order to extend and maintenance software systems, it is necessary to remove factors behind bad smells from source code through refactoring. However, it is time-consuming process to detect and remove factors behind bad smells manually from large source code. And, learning how to refactor bad smells can be difficult for students because they are not yet software development experts. Therefore, we propose a method for detecting bad smells using declarative meta programming that can be applied to software development training. In this manner, software development training is facilitated.

Keywords

computer science education; object-oriented programming; software maintenance; ITS application; bad smells detection; declarative meta programming; maintenance software systems; software development training; software engineering education; software refactoring; Complexity theory; Educational institutions; Software engineering; Software systems; Training; declarative meta programming; detectiong bad smells; program refactorings; software engineering education;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on

Conference_Location

Kitakyushu

Print_ISBN

978-1-4799-4174-2

Type

conf

DOI

10.1109/IIAI-AAI.2014.139

Filename

6913383