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
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