Cohesion prediction using information flow: an empirical feasibility study and comparison using students as inexperienced designers |
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| Affiliation: | 1. Seattle Children''s Hospital, Division of General and Thoracic Surgery, Seattle, WA;2. University of Washington Harborview Injury Prevention and Research Center, Seattle, WA;3. University of Pittsburgh, Department of Surgery, Pittsburgh, PA;4. Children''s of Alabama, General and Thoracic Surgery, Birmingham, AL;5. UT Health Science Center San Antonio, San Antonio, TX;6. Providence St. John''s Health Center, Santa Monica, CA;7. Ann & Robert H. Lurie Children''s Hospital of Chicago, Pediatric Surgery, Chicago, IL;8. Texas Children''s Hospital, Pediatric Surgery, Houston, TX;9. Children''s Healthcare of Atlanta, Atlanta, GA |
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| Abstract: | This paper describes an experimental investigation that demonstrates the feasibility of predicting weakly bound cohesive software modules [W.P. Stevens, G.J. Myers and L.L. Constantine, IBM Systems Journal (2) (1974) pp. 115–140] at the design stage of development. It compares the predictive capability of prediction systems, for weakly bound cohesive modules, based on classical regression models with systems that use binary logistic regression models. It also considers the models’ parsimony of parameters and their fit to the sampled data. Further, the external validity of the prediction systems is discussed and an appropriate mode of usage is proposed for the ‘better’ statistical models. |
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