Quality Improvement for UML and OCL Models through Bad Smell and Metrics Definition

被引：5

作者：

Khanh-Hoang Doan ^{[1
]}

Gogolla, Martin ^{[1
]}

机构：

[1] Univ Bremen, Dept Comp Sci, Bremen, Germany

来源：

2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2019) | 2019年

关键词：

Metrics; UML Metamodel; OCL; Model quality assessment;

D O I：

10.1109/MODELS-C.2019.00121

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：774 / 778

页数：5

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