Presented Paper

Using Machine Learning to Predict Project Effort: Empirical Case Studies in Data-starved Domains Gary D. Boetticher Department of Software Engineering University of Houston - Clear Lake

Standish Group [Standish94] ,[object Object],[object Object],[object Object]

Underlying Problems ,[object Object],[object Object]

Related Research: Economic Models

Why are Machine Learning algorithms not used more often for estimating early in the life cycle?

Goal ,[object Object],[object Object],[object Object]

Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Experiment 1: Product -Based Fleet to B2B

Experiment 1: Product Results

Experiment 2: Project -Based Results Fleet to B2B

Experiment 3: Product -Based B2B to Fleet

Extrapolation issue ,[object Object],[object Object]

Experiment 3: Product Results

Experiment 4: Project -Based Results B2B to Fleet

Conclusions ,[object Object],[object Object],[object Object],[object Object]

Future Directions ,[object Object],[object Object],[object Object],[object Object],[object Object]

Presented Paper

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