Informational and computational equivalence in comparing information modeling methods
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. Evaluati...
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sg-smu-ink.sis_research-106332024-11-23T15:18:03Z Informational and computational equivalence in comparing information modeling methods SIAU, Keng 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 paper, 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. 2004-10-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/9633 info:doi/10.4018/jdm.2004010103 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Cognitive psychology Computational equivalence Evaluation technique Human factors Informational equivalence Modeling methods Unified modeling language (UML) Databases and Information Systems Software Engineering |
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Cognitive psychology Computational equivalence Evaluation technique Human factors Informational equivalence Modeling methods Unified modeling language (UML) Databases and Information Systems Software Engineering SIAU, Keng Informational and computational equivalence in comparing information modeling methods |
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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 paper, 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. |
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SIAU, Keng |
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SIAU, Keng |
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SIAU, Keng |
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Informational and computational equivalence in comparing information modeling methods |
title_short |
Informational and computational equivalence in comparing information modeling methods |
title_full |
Informational and computational equivalence in comparing information modeling methods |
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Informational and computational equivalence in comparing information modeling methods |
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Informational and computational equivalence in comparing information modeling methods |
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informational and computational equivalence in comparing information modeling methods |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/sis_research/9633 |
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