Report
A neural net-based approach to software metrics
West Virginia University, Department of Statistics and Computer Science
05/20/1992
Abstract
Software metrics provide an effective method for characterizing software. Metrics have traditionally been composed through the definition of an equation. This approach is limited by the fact that all the interrelationships among all the parameters be fully understood. This paper explores an alternative, neural network approach to modeling metrics. Experiments performed on two widely accepted metrics, McCabe and Halstead, indicate that the approach is sound, thus serving as the groundwork for further exploration into the analysis and design of software metrics.
Details
- Title: Subtitle
- A neural net-based approach to software metrics
- Creators
- G BoetticherK SrinivasD Eichmann
- Resource Type
- Report
- Publisher
- West Virginia University, Department of Statistics and Computer Science
- Number of pages
- 18 pages
- Comment
- Submitted to the 4th International Conference on Tools with Artificial Intelligence, November 10-13, 1992, Arlington, Virginia
- Language
- English
- Date published
- 05/20/1992
- Academic Unit
- Library and Information Science
- Record Identifier
- 9984003174602771
Metrics
11 Record Views