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...
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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 |
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T Technology (General) Abdul Rahman, Mat Shaoying, Liu Derivation of Effective Guidance for Specification Constructions from CDFD-based Knowledge Representation |
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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. |
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Article |
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Abdul Rahman, Mat Shaoying, Liu |
author_facet |
Abdul Rahman, Mat Shaoying, Liu |
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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 |
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derivation of effective guidance for specification constructions from cdfd-based knowledge representation |
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IEEE |
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2013 |
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http://ir.unimas.my/id/eprint/15724/1/Derivation.pdf http://ir.unimas.my/id/eprint/15724/ http://ieeexplore.ieee.org/document/6615381/ |
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