The application of artificial intelligence techniques to software maintenance
Typescript (photocopy). === Digitized by Kansas Correctional Industries === Department: Computer Science.
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2011
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ndltd-KSU-oai-krex.k-state.edu-2097-98902019-03-30T19:58:08Z The application of artificial intelligence techniques to software maintenance Werbelow, Wayne Louis Computer programming--Management--Evaluation Artificial intelligence Typescript (photocopy). Digitized by Kansas Correctional Industries Department: Computer Science. 2011-06-28T21:20:25Z 2011-06-28T21:20:25Z 1985 1985 2010 Thesis http://hdl.handle.net/2097/9890 en_US This volume was digitized and made accessible online due to deterioration of the original print copy. If you are the author of this work and would like to have online access removed, please contact the Library Administration Office, 785-532-7400, library@k-state.edu. Kansas State University |
collection |
NDLTD |
language |
en_US |
sources |
NDLTD |
topic |
Computer programming--Management--Evaluation Artificial intelligence |
spellingShingle |
Computer programming--Management--Evaluation Artificial intelligence Werbelow, Wayne Louis The application of artificial intelligence techniques to software maintenance |
description |
Typescript (photocopy). === Digitized by Kansas Correctional Industries === Department: Computer Science. |
author |
Werbelow, Wayne Louis |
author_facet |
Werbelow, Wayne Louis |
author_sort |
Werbelow, Wayne Louis |
title |
The application of artificial intelligence techniques to software maintenance |
title_short |
The application of artificial intelligence techniques to software maintenance |
title_full |
The application of artificial intelligence techniques to software maintenance |
title_fullStr |
The application of artificial intelligence techniques to software maintenance |
title_full_unstemmed |
The application of artificial intelligence techniques to software maintenance |
title_sort |
application of artificial intelligence techniques to software maintenance |
publisher |
Kansas State University |
publishDate |
2011 |
url |
http://hdl.handle.net/2097/9890 |
work_keys_str_mv |
AT werbelowwaynelouis theapplicationofartificialintelligencetechniquestosoftwaremaintenance AT werbelowwaynelouis applicationofartificialintelligencetechniquestosoftwaremaintenance |
_version_ |
1719008559804448768 |