Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names

Volume: 123, Pages: 106310 - 106310
Published: Jul 1, 2020
Abstract
COSMIC is a widely used functional size measurement (FSM) method that supports software development effort estimation. The FSM methods measure functional product size based on functional requirements. Unfortunately, when the description of the product’s functionality is often abstract or incomplete, the size of the product can only be approximated since the object to be measured is not yet fully described. Also, the measurement performed by...
Paper Details
Title
Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names
Published Date
Jul 1, 2020
Volume
123
Pages
106310 - 106310
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