Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling

The paper analyses the efficiency of the Information Technology (IT) for Domain-Specific Mathematical Modelling (DSMM). IT DSMM was developed to meet the shortcomings of the IT for Domain-Specific Modelling (DSM). IT DSMM allows us to develop metamodels in the different mathematical semantics and t...

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Main Authors: Mezhuyev, Vitaliy, Mazlina, Abdul Majid, Ravi, Samikannu
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8784/1/Estimating%20the%20Efficiency%20of%20Information%20Technology%20for%20Domain-Specific%20Mathematical%20Modelling.pdf
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author Mezhuyev, Vitaliy
Mazlina, Abdul Majid
Ravi, Samikannu
author_facet Mezhuyev, Vitaliy
Mazlina, Abdul Majid
Ravi, Samikannu
author_sort Mezhuyev, Vitaliy
collection UMP
description The paper analyses the efficiency of the Information Technology (IT) for Domain-Specific Mathematical Modelling (DSMM). IT DSMM was developed to meet the shortcomings of the IT for Domain-Specific Modelling (DSM). IT DSMM allows us to develop metamodels in the different mathematical semantics and thus to increase the level of adequateness of models to the modelled domains. It also reduces an amount of operations needed for the development of metamodels and models of software systems. The optimization problem of choosing the most effective IT by selection and comparison of the multiple features inherent to DSM, DSMM and GPM (General Purpose Modelling) is solved.
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spelling UMPir87842018-04-11T08:35:34Z http://umpir.ump.edu.my/id/eprint/8784/ Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling Mezhuyev, Vitaliy Mazlina, Abdul Majid Ravi, Samikannu QA76 Computer software The paper analyses the efficiency of the Information Technology (IT) for Domain-Specific Mathematical Modelling (DSMM). IT DSMM was developed to meet the shortcomings of the IT for Domain-Specific Modelling (DSM). IT DSMM allows us to develop metamodels in the different mathematical semantics and thus to increase the level of adequateness of models to the modelled domains. It also reduces an amount of operations needed for the development of metamodels and models of software systems. The optimization problem of choosing the most effective IT by selection and comparison of the multiple features inherent to DSM, DSMM and GPM (General Purpose Modelling) is solved. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8784/1/Estimating%20the%20Efficiency%20of%20Information%20Technology%20for%20Domain-Specific%20Mathematical%20Modelling.pdf Mezhuyev, Vitaliy and Mazlina, Abdul Majid and Ravi, Samikannu (2015) Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling. In: 2nd International Conference on Computer, Communication and Control Technology (I4CT2015) , 21-23 April 2015 , Kuching, Sarawak. pp. 289-293.. http://dx.doi.org/10.1109/I4CT.2015.7219583
spellingShingle QA76 Computer software
Mezhuyev, Vitaliy
Mazlina, Abdul Majid
Ravi, Samikannu
Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title_full Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title_fullStr Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title_full_unstemmed Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title_short Estimating the Efficiency of Information Technology for Domain-Specific Mathematical Modelling
title_sort estimating the efficiency of information technology for domain specific mathematical modelling
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/8784/1/Estimating%20the%20Efficiency%20of%20Information%20Technology%20for%20Domain-Specific%20Mathematical%20Modelling.pdf
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