1996
DOI: 10.1080/15458830.1996.11770724
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Cost Estimator’s Reference Manuel (2nd edition)

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Cited by 35 publications
(35 citation statements)
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“…As a machine cannot "learn," automated tasks typically have poor learning curves [2]. It is also recognized that the best estimates of learning curve improvements result from manufacturing data.…”
Section: Learning Curve Classificationmentioning
confidence: 99%
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“…As a machine cannot "learn," automated tasks typically have poor learning curves [2]. It is also recognized that the best estimates of learning curve improvements result from manufacturing data.…”
Section: Learning Curve Classificationmentioning
confidence: 99%
“…The generation of best estimates will result from a combination of the learning curve theory discussed earlier in the report and actual manufacturing data. General breakdowns of expected learning curve values can be found within literature [2].…”
Section: Learning Curve Classificationmentioning
confidence: 99%
“…Cost estimation has a long-standing tradition in more mature engineering disciplines such as software engineering or industrial production [1,18,39]. Although the importance of cost issues is well-acknowledged in the semantic technologies community, as to the best of our knowledge, no cost estimation model for ontology development besides ONTOCOM has been proposed so far.…”
Section: Related Workmentioning
confidence: 99%
“…The use of historical maintenance data has been examined [15,16] and it was found that historical information is most often combined within broader definitions that do not provide the transparency required for the development of accurate WLCC models. Parametric CER is a recognised technique for prediction of costs based on the known behaviours of past projects with similar key cost drivers [17,18]. However, lack of appropriate/available data is a huge obstacle in developing these relationships in the first instance.…”
Section: Whole Life Cycle Costmentioning
confidence: 99%