NDLI: A Study of the Definition and Identification of Bad Smells in Aspect Oriented Programming

Content Provider	IEEE Xplore Digital Library
Author	Li-Qing Guo Kuo-Hsun Hsu Chang-Yen Tsai
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Nat. Taichung Univ. of Educ., Taichung, Taiwan (Li-Qing Guo; Kuo-Hsun Hsu; Chang-Yen Tsai)
Abstract	AOP (aspect oriented programming) is a programming paradigm for enhancing the degree of modularity in a system and it helps developers to maintain and manage the system easier. A bad smell means that a bad design that may lead to negative effects while developing a software system. Bad smells may also appear in the system that is developed using AOP paradigm. Therefore, it is important that bad smells can be detected in an AOP-implemented system. In this paper, various types of AOP bad smells are described with its definition and discovering patterns. A two-stage analysis method is proposed for identifying these AOP bad smells in a software system. Furthermore, we provided flow charts that aim to identify these AOP bad smells for helping developers to understand how to extract AOP bad smells.
Starting Page	303
Ending Page	310
File Size	432442
Page Count	8
File Format	PDF
e-ISBN	9781467380027
DOI	10.1109/ICEBE.2015.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement identify Bad smells Cloning aspect Software systems Data mining Programming profession Graphical user interfaces
Content Type	Text
Resource Type	Article

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