Metric-based neural network classification tool for analyzing large-scale software

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 1992-November, Issue , 1992, Pages 108-113

  Paul, R ^a  

^a US Army Operational Evaluation Command ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; LINEAR NETWORKS; NASA; NEURAL NETWORKS;

CLASSIFICATION METHODS; ERROR BACK PROPAGATION; HISTORICAL DATA; LINEARLY SEPARABLE; NEURAL NETWORK CLASSIFICATION; SOFTWARE DEVELOPER; SOFTWARE DEVELOPMENT PROCESS; SOFTWARE METRICS;

SOFTWARE DESIGN;

EID: 30244570382     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAI.1992.246366     Document Type: Conference Paper

References (4)

1. Yon-Han Pao, "Adaptive Patter Recognition and Neural Networks", Addison-Wesley Publishing Co., 1989.
2. Adam A. Porter and Richard W. Selby. "Empirically Guided Software Development Using Metric-Based Classification Trees", IEEE Software, March 1990.
3. J.R.Quinlan,"InductionofDecisionTrees."MachineLearning 1,81-106, 1986.
4. R. Kent Madsen and Richard W. Selby, "Metric Driven Classification Models for Analyzing LargeScale Software", Arcadia Technical Report UCI-91-02, Department of Computer Science, University of California, Irvine, January, 1991.