Title
Bad-Smell Metrics for Aspect-Oriented Software
Abstract
Aspect-oriented programming (AOP) is a new programming paradigm that improves separation of concerns by decomposing the crosscutting concerns in aspect modules. Bad smells are metaphors to describe software patterns that are generally associated with bad design and bad programming of object-oriented programming (OOP). New notions and different ways of thinking for developing aspect-oriented (AO) software inevitably introduce bad smells which are specific bad design and bad programming in AO software called AO bad smells. Software metrics have been used to measure software artifact for a better understanding of its attributes and to assess its quality. Bad-smell metrics should be used as indicators for determining whether a particular fraction of AO code contains bad smells or not. Therefore, this paper proposes definition of metrics corresponding to the characteristic of each AO bad smell as a means to detecting them. The proposed bad-smell metrics are validated and the results show that the proposed bad- smell metrics can preliminarily indicate bad smells hidden in AO software.
Year
DOI
Venue
2007
10.1109/ICIS.2007.68
Melbourne, Qld.
Keywords
Field
DocType
object-oriented programming,software metrics,software quality,aspect modules,aspect-oriented programming,aspect-oriented software,bad design,bad programming,bad-smell metrics,crosscutting concern decomposition,object-oriented programming,separation of concerns,software artifact measurement,software attributes,software metrics,software patterns,software quality assessment
Object-oriented programming,Aspect-oriented programming,Software engineering,Programming paradigm,Computer science,Separation of concerns,Software metric,Software quality,Code smell,Software measurement
Conference
ISBN
Citations 
PageRank 
0-7695-2841-4
8
0.62
References 
Authors
3
2
Name
Order
Citations
PageRank
Komsan Srivisut1191.18
Pornsiri Muenchaisri2336.67