Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation

A completeness and accurateness of a specification is depend on how appropriateness and relevancy of the questions during a process of developing the specification. The process of providing an effective question requires several stages and need more discussions between system analyst and knowledge...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Rahman, Mat, Shaoying, Liu
Format: Article
Language:English
Published: IEEE 2013
Subjects:
Online Access:http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf
http://ir.unimas.my/id/eprint/15724/
http://ieeexplore.ieee.org/document/6615381/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.15724
record_format eprints
spelling my.unimas.ir.157242022-09-29T07:28:30Z http://ir.unimas.my/id/eprint/15724/ Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation Abdul Rahman, Mat Shaoying, Liu T Technology (General) A completeness and accurateness of a specification is depend on how appropriateness and relevancy of the questions during a process of developing the specification. The process of providing an effective question requires several stages and need more discussions between system analyst and knowledge engineer. In this paper, we present on the structure of the questions in which are based on Context Data Flow Diagram (CDFD). In order to describe on how this method can be applied to derive an effective guidance, we use a case study of a brain tumor treatment system to assist and guide system analyst to construct the specification. Our aim is to develop a knowledgebased supporting tool to help system analyst in constructing formal specification. IEEE 2013 Article PeerReviewed text en http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf Abdul Rahman, Mat and Shaoying, Liu (2013) Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation. 2013 IEEE 4th International Conference on Software Engineering and Service Science. pp. 605-610. ISSN Electronic : 2327-0594 http://ieeexplore.ieee.org/document/6615381/ DOI: 10.1109/ICSESS.2013.6615381
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdul Rahman, Mat
Shaoying, Liu
Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
description A completeness and accurateness of a specification is depend on how appropriateness and relevancy of the questions during a process of developing the specification. The process of providing an effective question requires several stages and need more discussions between system analyst and knowledge engineer. In this paper, we present on the structure of the questions in which are based on Context Data Flow Diagram (CDFD). In order to describe on how this method can be applied to derive an effective guidance, we use a case study of a brain tumor treatment system to assist and guide system analyst to construct the specification. Our aim is to develop a knowledgebased supporting tool to help system analyst in constructing formal specification.
format Article
author Abdul Rahman, Mat
Shaoying, Liu
author_facet Abdul Rahman, Mat
Shaoying, Liu
author_sort Abdul Rahman, Mat
title Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title_short Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title_full Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title_fullStr Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title_full_unstemmed Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title_sort derivation of effective guidance for specification constructions from cdfd-based knowledge representation
publisher IEEE
publishDate 2013
url http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf
http://ir.unimas.my/id/eprint/15724/
http://ieeexplore.ieee.org/document/6615381/
_version_ 1745566031943827456
score 13.214268