Criteria for comparing information modeling methods: Informational and computational equivalence

Keng Siau

doi:10.4018/978-1-59140-471-2.ch011

Criteria for comparing information modeling methods: Informational and computational equivalence

Keng Siau

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review

Abstract

Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are therefore necessary to compare and contrast these modeling methods. In this chapter, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence. © 2005, Idea Group Inc.

Original language	English
Title of host publication	Advanced Topics in Database Research
Publisher	IGI Global Publishing
Pages	238-254
Volume	4
ISBN (Print)	9781591404712
DOIs	https://doi.org/10.4018/978-1-59140-471-2.ch011
Publication status	Published - 2005
Externally published	Yes

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Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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title = "Criteria for comparing information modeling methods: Informational and computational equivalence",

abstract = "Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are therefore necessary to compare and contrast these modeling methods. In this chapter, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence. {\textcopyright} 2005, Idea Group Inc.",

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AU - Siau, Keng

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2005

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N2 - Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are therefore necessary to compare and contrast these modeling methods. In this chapter, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence. © 2005, Idea Group Inc.

AB - Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of modeling methods but the proliferation of modeling methods with little theoretical foundation and empirical evidence to support their usefulness. Evaluation techniques are therefore necessary to compare and contrast these modeling methods. In this chapter, we suggest an evaluation approach based on the human information processing paradigm and the theory of equivalence of representations. This evaluation approach proposes that modeling methods can be evaluated and compared using two criteria: informational and computational equivalence. © 2005, Idea Group Inc.

UR - https://www.scopus.com/pages/publications/84900264800

UR - https://www.scopus.com/pages/publications/84900264800#tab=impact

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DO - 10.4018/978-1-59140-471-2.ch011

M3 - RGC 12 - Chapter in an edited book (Author)

SN - 9781591404712

VL - 4

SP - 238

EP - 254

BT - Advanced Topics in Database Research

PB - IGI Global Publishing

ER -

Criteria for comparing information modeling methods: Informational and computational equivalence

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