Journal Article10.1006/IJHC.1994.1030
Improving conceptual database design through feedback
Dinesh Batra,Maung K. Sein +1 more
35
TL;DR: The results show that feedback can help users detect and correct certain types of database design errors in modeling ternary relationships, and no improvement seems possible in the case of unary relationships.
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Abstract: Design aids can improve the quality of systems developed by end-users and non-expert designers. This paper reports a study undertaken to establish the concept validation of a design aid that is based on feedback to improve the quality of conceptual and logical relational databases. We describe the design of SERFER (Simulated ER based FEedback system for R elational databases) and test its effectiveness in a laboratory experiment using the "hidden operator" method. The results show that feedback can help users detect and correct certain types of database design errors in modeling ternary relationships. However, no improvement seems possible in the case of unary relationships. The experiment could not determine whether errors can be corrected in modeling binary relationships, since the subjects were reasonably adept and rarely committed serious errors in this case.
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Citations
The use of spreadsheets in organizations: determinants and consequences
Yolande E. Chan,Veda C. Storey +1 more
TL;DR: It was found that spreadsheet users often do not use many of the commonly available spreadsheet features, and they do not appear inclined to use other software packages for their tasks, even if these packages might be more suitable.
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The effect of data model, system and task characteristics on user query performance: an empirical study
TL;DR: An empirical study is reported on that investigates the effect of entity-relationship versus relational models, and textual versus visual query languages for user-database interfaces.
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The Treatment of Non-Functional Requirements in MIKE
Dieter Landes,Rudi Studer +1 more
- 25 Sep 1995
TL;DR: It is shown how non-functional requirements are modelled in MIKE, an approach to the development of knowledge-based systems, and a semi-formal hypermedia-based model is used to describe the results of the elicitation and interpretation of non- functional requirements and their relationships.
Three important determinants of user performance for database retrieval
TL;DR: Three important factors that determine user performance during database retrieval are representation realism, expressive ease, and task complexity; these factors interacted in unique ways to moderate query accuracy and query time.
48
A framework for studying human error behavior in conceptual database modeling
TL;DR: A framework is developed to explain human error behavior in modeling conceptual databases based on the notion of directness distance or ‘gulf’ suggested in recent literature, and design guidelines to prevent these errors are provided.
36
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