Author List: Agarwal, Ritu; Sinha, Atish P.; Tanniru, Mohan;
Journal of Management Information Systems, 1996, Volume 13, Issue 2, Page 137-162.
Requirements modeling constitutes one of the most important phases of the systems development life cycle. Despite the proliferation of methodologies and models for requirements analysis, empirical work examining their relative efficacy is limited. This paper presents an empirical examination of object-oriented and process-oriented methodologies as applied to object-oriented and process-oriented tasks. The conceptual basis of the research model is derived from the theory of cognitive fit, which posits that superior problem-solving performance will result when the problem-solving task and the problem-solving tool emphasize the same type of information. Two groups of subjects participated in an experiment that required them to construct solutions to two requirements-modeling tasks, one process-oriented and the other object-oriented. One group employed the object-oriented tool while the other used the process-oriented tool. As predicted by the theory of cognitive fit, superior performance was observed when the process-oriented tool was applied to the process-oriented task. For the object-oriented task, however, the performance effects of cognitive fit require further investigation since there was no difference in subject performance across the two tools.
Keywords: cognitive fit;human factors;object-oriented analysis;process-oriented analysis;requirements modeling
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List of Topics

#295 0.462 task fit tasks performance cognitive theory using support type comprehension tools tool effects effect matching types theories modification working time
#216 0.136 conceptual model modeling object-oriented domain models entities representation understanding diagrams schema semantic attributes represented representing object relationships concepts classes entity-relationship
#209 0.084 results study research information studies relationship size variables previous variable examining dependent increases empirical variance accounting independent demonstrate important addition
#272 0.075 requirements analysts systems elicitation techniques analysis process technique understanding determination analyst acquisition interview development used semantic results knowledge structured effectiveness
#294 0.072 development systems methodology methodologies information framework approach approaches paper analysis use presented applied assumptions based proposed described examines basis proposes
#265 0.051 collaborative groups feedback group work collective individuals higher effects efficacy perceived tasks members environment writing experiment did task intelligence compared