Enhancement of natural language processing approach for automated generation of object constraint language

Object Constraint Language (OCL) is the most prevalent modeling language to document requirement constraints that are annotated in the Unified Modeling Language. Various researchers have proved that OCL syntax is complex and difficult for some reasons such as its declarative nature. As the measure o...

Full description

Saved in:

Bibliographic Details
Main Author:	Salemi, Samin
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/77907/1/SaminSalemiPFC2015.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.77907
record_format	uketd_dc
spelling	my-utm-ep.779072018-07-18T04:11:22Z Enhancement of natural language processing approach for automated generation of object constraint language 2015-09 Salemi, Samin QA75 Electronic computers. Computer science Object Constraint Language (OCL) is the most prevalent modeling language to document requirement constraints that are annotated in the Unified Modeling Language. Various researchers have proved that OCL syntax is complex and difficult for some reasons such as its declarative nature. As the measure of ease-of-use factor of a language has a direct relationship with the language’s usability, the difficulties in the use of OCL result in the low usability of OCL. There are few research works for OCL generation using some different techniques such as pattern-based and Model-Driven Architecture (MDA)-based. The accuracy of the existing patternbased work generating OCL specification is low. MDA focuses on software development based on generating models and transforming these models between each other. There are some researches based on MDA to increase the usability of modeling languages. However, only one of the existing works supports OCL. The existing MDA-based work generating OCL specification does not support some OCL elements, such as collect and reject, and some UML elements such as enumeration. Therefore, this research proposes an MDA-based approach to transform requirement constraints formed in English sentences into OCL specifications using transformation rules. A software tool is developed to validate the proposed approach and compare with the existing works. The comparison shows that the proposed approach solves some limitations of the existing works such as support of some OCL and UML elements, which are not supported by the existing works. The comparison also shows that some accuracy improvement is achieved by the proposed approach in comparison with the existing works. 2015-09 Thesis http://eprints.utm.my/id/eprint/77907/ http://eprints.utm.my/id/eprint/77907/1/SaminSalemiPFC2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97167 phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Salemi, Samin Enhancement of natural language processing approach for automated generation of object constraint language
description	Object Constraint Language (OCL) is the most prevalent modeling language to document requirement constraints that are annotated in the Unified Modeling Language. Various researchers have proved that OCL syntax is complex and difficult for some reasons such as its declarative nature. As the measure of ease-of-use factor of a language has a direct relationship with the language’s usability, the difficulties in the use of OCL result in the low usability of OCL. There are few research works for OCL generation using some different techniques such as pattern-based and Model-Driven Architecture (MDA)-based. The accuracy of the existing patternbased work generating OCL specification is low. MDA focuses on software development based on generating models and transforming these models between each other. There are some researches based on MDA to increase the usability of modeling languages. However, only one of the existing works supports OCL. The existing MDA-based work generating OCL specification does not support some OCL elements, such as collect and reject, and some UML elements such as enumeration. Therefore, this research proposes an MDA-based approach to transform requirement constraints formed in English sentences into OCL specifications using transformation rules. A software tool is developed to validate the proposed approach and compare with the existing works. The comparison shows that the proposed approach solves some limitations of the existing works such as support of some OCL and UML elements, which are not supported by the existing works. The comparison also shows that some accuracy improvement is achieved by the proposed approach in comparison with the existing works.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Salemi, Samin
author_facet	Salemi, Samin
author_sort	Salemi, Samin
title	Enhancement of natural language processing approach for automated generation of object constraint language
title_short	Enhancement of natural language processing approach for automated generation of object constraint language
title_full	Enhancement of natural language processing approach for automated generation of object constraint language
title_fullStr	Enhancement of natural language processing approach for automated generation of object constraint language
title_full_unstemmed	Enhancement of natural language processing approach for automated generation of object constraint language
title_sort	enhancement of natural language processing approach for automated generation of object constraint language
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2015
url	http://eprints.utm.my/id/eprint/77907/1/SaminSalemiPFC2015.pdf
_version_	1747817860037607424

Enhancement of natural language processing approach for automated generation of object constraint language

Similar Items