Requirement volatility metrics as an assessment instrument for design team performance prediction
- Autores: John M. Feland, Larry Leifer
- Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 17, no. Extra 4, 2001 (Ejemplar dedicado a: Design Education for the 21st Century), págs. 489-492
- Idioma: inglés
- Enlaces
-
Resumen
Predicting and assessing student team performance in design projects presents a host of challenges.Most involve turning qualitative interpretations into quantitative assessments. This challenge issimplified when all student teams are working on the same project. Establishing a relativeperformance metric based on the top and bottom performers simplifies the task. However, inclasses where the projects are diverse and/or sponsored by outside industry representatives thechallenge is increased. In classes where formalized requirement documentation exists, requirementvolatility (change over time) can be used to simplify student team performance assessment, as wellas serving as a predictor of future performance on the project. In an analysis based on projectrequirement documents from the graduate design class at Stanford, ME210, requirement volatilitymetrics proved to have surprising power as a predictor of student design team performance.Tracked over time, the metric predicted of team rank-order performance. This document willsummarize a method for volatility measurement and the results of our initial analysis
