Consistent Code Generation from UML Models

2005 ◽  
Author(s):  
Quan Long ◽  
Zhiming Liu ◽  
Xiaoshan Li ◽  
He Jifeng
Keyword(s):  
Code Generation ◽  
Uml Models

SystemC Code Generation from UML Models

2003 ◽  
pp. 161-171 ◽  
Author(s):  
Luciano Baresi ◽  
Francesco Bruschi ◽  
Elisabetta Di Nitto ◽  
Donatella Sciuto
Keyword(s):  
Code Generation ◽  
Uml Models

Generation of test cases using UML models

2014 ◽  
Vol 13 (7) ◽  
pp. 4671-4674 ◽  
Author(s):  
Gurpreet Singh ◽  
Rasbir Singh
Keyword(s):  
Software Development ◽  
Code Generation ◽  
Dynamic Testing ◽  
Sequence Diagram ◽  
Test Case ◽  
Test Cases ◽  
Sequence Diagrams ◽  
State Chart ◽  
Uml Sequence Diagram ◽  
Uml Models

Software Testing plays an important role in Software development because it can minimize the development cost. UML is widely used in the software development, there consists of the designing and coding of the software. Designing phase is done with the help of the UML models, which consists of the sequence diagrams, activity diagrams, use case diagrams, state chart diagrams etc. After designing of the system, the next task is coding. Since the software development is time and human resource consuming, the reduction of consumption is done with the help of the code generation automatically. This work mainly focus on the UML sequence diagram and state chart diagram as the model. We Propose a Technique for Test Case Generation using UML Models. UML models give a lot of  information that should not be ignored in testing. An innovative approach of generating test cases from the combination of UML design diagrams has been discussed in this paper. Present work used an approach where sequence diagram and state chart diagram has been used to generate test cases. The test cases thus generated are suitable for dynamic testing of system.

COMBINING GENETIC PROGRAMMING AND MODEL-DRIVEN DEVELOPMENT

2009 ◽  
Vol 08 (01) ◽  
pp. 37-52 ◽  
Author(s):  
THOMAS WEISE ◽  
MICHAEL ZAPF ◽  
MOHAMMAD ULLAH KHAN ◽  
KURT GEIHS
Keyword(s):  
Genetic Programming ◽  
Code Generation ◽  
System Development ◽  
Software Development Process ◽  
Modeling Tools ◽  
Model Driven Development ◽  
Model Driven ◽  
Model Driven Software Development ◽  
Election Algorithm ◽  
Uml Models

Genetic programming (GP) is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In most cases it is a hardwired module of a design framework assisting the engineer in optimizing specific aspects in system development. In this article, we show how the utility of GP can be increased remarkably by isolating it as a component and integrating it into the model-driven software development process. Our GP framework produces XMI-encoded UML models that can easily be loaded into widely available modeling tools, which in turn offer code generation as well as additional analysis and test capabilities. We use the evolution of a distributed election algorithm as an example to illustrate how GP can be combined with model-driven development (MDD).

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