Paper Info
Title
Design Smell Detection with Similarity Scoring and Fingerprinting: Preliminary Study
Abstract
Design smells in software models reduce the software quality. Smells identification supports the refactoring, which is a way to improve the quality of models and subsequently increasing software readability, maintainability and extensibility. We propose a preliminary study of using Similarity Scoring Algorithm and Fingerprinting Algorithm for design smells detection. In the future, we plan to do extensive verification on several large projects, integrate these methods to the smells detection framework and compare effectiveness with other approaches.
Year
DOI
Venue
2011
10.1109/ECBS-EERC.2011.39
ECBS-EERC
Keywords
Field
DocType
fingerprinting algorithm,software readability,extensive verification,detection framework,design smell detection,preliminary study,similarity scoring algorithm,software quality,software model,large project,algorithms,fingerprinting,software maintenance,refactoring,anti patterns
Systems engineering,Computer science,Software,Artificial intelligence,Software maintenance,Code refactoring,Maintainability,Scoring algorithm,Software quality,Software verification and validation,Software construction,Machine learning,Database
Conference
Citations 
PageRank 
References 
2
0.38
2
Authors
2
Name
Order
Citations
PageRank
Peter Liska120.38
Ivan Polásek2214.71