Title :
When will it be done? Machine learner answers to the 300-billion-dollar question
Author :
Boetticher, Gary D.
Author_Institution :
Sch. of Sci. & Comput. Eng., Univ. of Houston, Clear Lake, TX, USA
Abstract :
The international $300-billion software development industry needs better predictors for software development costs. Data miners can learn such predictors with impressive accuracy.
Keywords :
learning (artificial intelligence); software engineering; data miners; software development costs; software development industry; Accuracy; Algorithm design and analysis; Costs; Industrial training; Lakes; Life estimation; Machine learning algorithms; Programming; Project management; Testing;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2003.1200728
