Skip to Main content Skip to Navigation
Conference papers

Extracting and Modeling Design Defects Using Gradual Rules and UML Profile

Abstract : There is no general consensus on how to decide if a particular design violates a model quality. In fact, we find in literature some defects described textually, detecting these design defects is usually a difficult problem. Deciding which object suffer from one defect depends heavily on the interpretation of each analyst. Experts often need to minimize design defects in software systems to improve the design quality. In this paper we propose a design defect detection approach based on object oriented metrics. We generate, using gradual rules, detection rules for each design defect at model level. We aim to extract, for each design defects, the correlation of co-variation of object oriented metrics. They are then modeled in a standard way, using the proposed UML profile for design defect modeling. We experiment our approach on 16 design defects using 32 object oriented metrics.
Document type :
Conference papers
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, May 11, 2018 - 3:10:30 PM
Last modification on : Wednesday, October 28, 2020 - 2:20:04 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 1:59:50 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Mohamed Maddeh, Sarra Ayouni. Extracting and Modeling Design Defects Using Gradual Rules and UML Profile. 5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.574-583, ⟨10.1007/978-3-319-19578-0_47⟩. ⟨hal-01789946⟩



Record views


Files downloads