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  • One of the most serious practical and theoretical limitations of the entity-relationship (E-R) model is its inability to cope with complexity. Once E-R models exceed a certain threshold of size, they become difficult to understand, document and maintain. This paper describes the development and empirical validation of a method for representing large E-R models called leveled data modeling (LDM). A combination of research methods were used to validate the method. Action research was first used to test and refine the method in a real-world setting. Eight action research studies were conducted in eight different organizations. Once the method had become stable, two laboratory experiments were conducted to evaluate its effectiveness compared to the standard E-R model and methods previously proposed in the literature. Finally, a field experiment was conducted using experienced practitioners to evaluate the likelihood of the method being accepted in practice. The resulting method defines a
  • One of the most serious practical and theoretical limitations of the entity-relationship (E-R) model is its inability to cope with complexity. Once E-R models exceed a certain threshold of size, they become difficult to understand, document and maintain. This paper describes the development and empirical validation of a method for representing large E-R models called leveled data modeling (LDM). A combination of research methods were used to validate the method. Action research was first used to test and refine the method in a real-world setting. Eight action research studies were conducted in eight different organizations. Once the method had become stable, two laboratory experiments were conducted to evaluate its effectiveness compared to the standard E-R model and methods previously proposed in the literature. Finally, a field experiment was conducted using experienced practitioners to evaluate the likelihood of the method being accepted in practice. The resulting method defines a (en)
Title
  • Dealing With Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models
  • Dealing With Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models (en)
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  • Dealing With Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models
  • Dealing With Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models (en)
skos:notation
  • RIV/68407700:21230/03:03093668!RIV/2004/MSM/212304/N
http://linked.open...avai/riv/aktivita
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  • Z(MSM 212300013)
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  • 602830
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  • RIV/68407700:21230/03:03093668
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  • Entity-relationship (E-R) model;action research;complexity;conceptual model;experimental research;requirements analysis (en)
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  • [9FE7186B4A54]
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  • Washington
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  • Moody, Daniel Lawrence
http://linked.open...rzeVyzkumneZpravy
  • Neuveden
http://linked.open...n/vavai/riv/zamer
http://localhost/t...ganizacniJednotka
  • 21230
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