Paper Info
Title
Quality Improvement For Uml And Ocl Models Through Bad Smell And Metrics Definition
Abstract
Detecting and fixing software quality issues early in the design phase is indispensable for a successful project applying model-based techniques. This paper presents an extension of the tool USE (UML-based Specification Environment) with features for (a) reflective model queries and model exploration, (b) metric measurement, (c) smell detection, and (d) quality assessment with metrics. The newly added functionalities can be fine-tuned by designers, are closely related and can be applied together interactively in order to help designers to achieve better models.
Year
DOI
Venue
2019
10.1109/MODELS-C.2019.00121
2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2019)
Keywords
Field
DocType
Metrics, UML Metamodel, OCL, Model quality assessment
Unified Modeling Language,Systems engineering,Software engineering,Computer science,Quality management
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Khanh-Hoang Doan151.82
Martin Gogolla22398578.76