Model-Driven Plug-in Development for UML Based Modeling Systems. Information Technology and Control

Vitiutinas, Ruslanas; Silingas, Darius; Telksnys, Laimutis

doi:10.5755/j01.itc.40.3.627

Cited by 9 publications

(6 citation statements)

References 31 publications

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“…In recent years the situation seems to be improving with UML-based MDE tools getting more sophisticated, for example MagicDraw [20]. It currently supports the development of additional tools, e.g., a model validator and a methodology wizard [21] as MagicDraw plugins and concrete syntax for DSMLs that do not only use the standard UML shapes, e.g., a relation map diagram for visualizing traceability in models [22]. However, as the paper [23] reveals, the hybrid DSMLs (with graphical and textual syntax) are not supported and had to be covered by integrating MagicDraw with an Eclipse-based editor, which is inferior to an IDE solution.…”

Section: Related Workmentioning

confidence: 99%

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

Godena

Lukman

Heričko

et al. 2015

ITC

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Model-driven engineering (MDE) is a software-engineering paradigm that is being introduced into a growing number of domains. One of the most important success factors for a new MDE approach is the availability of the appropriate tool support for it. Although the literature discusses the development of support tools, only a few reports and analyses are available about the development of tool support for real-life modeling languages and MDE approaches. The goal of this paper is to fill this gap through an experience report about developing a tool-suite prototype for an MDE approach for the process control domain that is capable of supporting the development of real-life process control software. Before the work presented in this paper an initial prototype tool suite was already developed. However, it was not able to adequately support industry-scale projects. The paper starts with an analysis of the past development of this already-existing laboratory prototype and then moves on to a report about the development of the industrial prototype, which is influenced by the findings of the analysis. Then a comparison between the two prototypes is made and the lessons learned are described, which may be useful to practitioners who attempt to develop support tools for an MDE approach that are useful in practice. The most important lesson learned is that when developing tool support for complex modeling languages, the traditional development approach should not be easily rejected.

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Section: Related Workmentioning

confidence: 99%

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

Godena

Lukman

Heričko

et al. 2015

ITC

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“…Described UML models parsing algorithms are partly implemented in Knowledge Based MDA tool's prototype. The main goal of such tool is to be integrated into particular modelling tool as plug-in [13] and provide Knowledge Based MDA functionality. The prototype is capable of parsing and processing common to UML and SysML Use Case and Activity diagrams.…”

Section: Prototypementioning

confidence: 99%

SysML and UML models usage in Knowledge Based MDA process

Butleris

Lopata

Ambraziunas

et al. 2015

ElAEE

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The article presents Enterprise Model (EM) generation process from SysML models of four types (Use Case, Activity, Block Definition and Requirements) as well as Knowledge Based MDA (Model-Driven Architecture) tool's prototype which is implementing the defined algorithms. Defined SysML models parsing algorithms use the recursive data processing approach due to complex UML models structure. The algorithms description is presented as Activity diagrams and explained in tables, where are depicted basics steps and actors as well as the output results. Knowledge Based MDA tool's prototype currently is capable of processing Use Case and Activity models. Proposed prototype is implemented using three layers (GUI, Logic and Data) architecture. The detailed architecture is presented and described in this article using class diagrams. The prototype is implemented using .Net framework and C# programming language.

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“…It includes various models to support software systems development with an object-oriented approach. These models include use case diagram, use case description, sequence diagram, class diagram, activity diagram and state diagram to model both dynamic and static behavior of software systems at different levels of abstraction [10,37,6]. As this study includes functionality level, the activity diagram is employed.…”

Section: Introductionmentioning

confidence: 99%

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

Alrawashdeh¹,

El-Qirem²,

Althunibat³

et al. 2021

ITC

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The regression testing is a software-based testing approach executed to verify that changes made to the softwaredo not affect the existing functionality of the product. On account of the constraints of time and cost, it isimpractical to re-execute all the test cases for software whenever a change occurs. In order to overcome sucha problem in the selection of regression test cases, a prioritization technique should be employed. On the basisof some predefined criterion, the prioritization techniques create an execution schedule for the test cases, sothe higher priority test cases can be performed earlier than the lower priority test cases in order to improvethe efficiency of the software testing. Many prioritization criteria for regression test cases have been proposedin software testing literature; however, most of such techniques are code-based. Keeping in view this fact, thisresearch work has proposed a prioritization approach for regression test cases generated from software specificationswhich are based on the criterion of the Average Percentage Transition Coverage (APTC) by using arevised genetic algorithm. This criterion evaluates the rate of transitions coverage by incorporating knowledgeabout the significance of transitions between activates in the form of weights. APTC has been used as a fitnessevaluation function in a genetic algorithm to measure the effectiveness of a test cases sequence. Moreover, inorder to improve the coverage percentage, the proposed approach has revised the genetic algorithm by solvingthe problem of the optimal local solution. The experimental results show that the proposed approach demonstratesa good coverage performance with less execution time as compared to the standard genetic algorithmand some other prioritization techniques.

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Model-Driven Plug-in Development for UML Based Modeling Systems. Information Technology and Control

Cited by 9 publications

References 31 publications

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

SysML and UML models usage in Knowledge Based MDA process

A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm

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