Automatic classification of software modules with probabilistic neural networks

Autor:	J. Hawley, Theodore P. Washburne, Harlan M. Romsdahl, R. Stachowitz
Rok vydání:	1994
Předmět:	Reverse engineering Artificial neural network business.industry Computer science Subroutine Probabilistic logic Machine learning computer.software_genre Software Software construction Code (cryptography) Artificial intelligence Software system Data mining business computer
Zdroj:	Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
DOI:	10.1109/icnn.1994.374833
Popis:	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. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7a355f9e60b622b64b4eb03fc57f34a4 https://doi.org/10.1109/icnn.1994.374833 Zobrazit plný text záznamu