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

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/
http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf
_version_ 1848837912893849600
author Abdul Rahman, Mat
Shaoying, Liu
author_facet Abdul Rahman, Mat
Shaoying, Liu
author_sort Abdul Rahman, Mat
building UNIMAS Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T06:47:12Z
format Article
id unimas-15724
institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T06:47:12Z
publishDate 2013
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling unimas-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
spellingShingle T Technology (General)
Abdul Rahman, Mat
Shaoying, Liu
Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation
title 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_short 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
topic T Technology (General)
url http://ir.unimas.my/id/eprint/15724/
http://ir.unimas.my/id/eprint/15724/
http://ir.unimas.my/id/eprint/15724/
http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf