DocumentCode :
288857
Title :
Automatic classification of software modules with probabilistic neural networks
Author :
Washburne, Ted ; Stachowitz, Rolf ; Hawley, John ; Romsdahl, Harlan
Author_Institution :
Lockheed Missiles & Space Co. Inc., Palo Alto, CA, USA
Volume :
6
fYear :
1994
fDate :
27 Jun- 2 Jul 1994
Firstpage :
3894
Abstract :
Software understanding (SU) requires inspection of code to classify the code modules into categories (or objects). To date, the comments available with the code have not been used to extract valuable information. By using standard information retrieval (IR) methods with neural networks, automatic classification of the software modules can be done
Keywords :
neural nets; probability; reverse engineering; software engineering; subroutines; probabilistic neural networks; software module automatic classification; software understanding; standard information retrieval methods; Data mining; Information retrieval; Inspection; Missiles; Navigation; Neural networks; Project management; Software standards; Temperature; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374833
Filename :
374833
Link To Document :
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