Algorithmic Concept Recognition to Support High Performance Code Reengineering
Summary :
Techniques for automatic program recognition, at the algorithmic level, could be of high interest for the area of Software Maintenance, in particular for knowledge based reengineering, because the selection of suitable restructuring strategies is mainly driven by algorithmic features of the code. In this paper an automated hierarchical concept parsing recognition technique, and a formalism for the specification of algorithmic concepts, is presented. Based on this technique, the design and development of ALCOR, a production rule based system for automatic recognition of algorithmic concepts within programs, aimed at support of knowledge based reengineering for high performance, is presented.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.7 pp.1743-1750
- Publication Date
- 2004/07/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Hardware/Software Support for High Performance Scientific and Engineering Computing)
- Category
- Software Support and Optimization Techniques
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Beniamino DI MARTINO, "Algorithmic Concept Recognition to Support High Performance Code Reengineering" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 7, pp. 1743-1750, July 2004, doi: .
Abstract: Techniques for automatic program recognition, at the algorithmic level, could be of high interest for the area of Software Maintenance, in particular for knowledge based reengineering, because the selection of suitable restructuring strategies is mainly driven by algorithmic features of the code. In this paper an automated hierarchical concept parsing recognition technique, and a formalism for the specification of algorithmic concepts, is presented. Based on this technique, the design and development of ALCOR, a production rule based system for automatic recognition of algorithmic concepts within programs, aimed at support of knowledge based reengineering for high performance, is presented.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_7_1743/_p
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@ARTICLE{e87-d_7_1743,
author={Beniamino DI MARTINO, },
journal={IEICE TRANSACTIONS on Information},
title={Algorithmic Concept Recognition to Support High Performance Code Reengineering},
year={2004},
volume={E87-D},
number={7},
pages={1743-1750},
abstract={Techniques for automatic program recognition, at the algorithmic level, could be of high interest for the area of Software Maintenance, in particular for knowledge based reengineering, because the selection of suitable restructuring strategies is mainly driven by algorithmic features of the code. In this paper an automated hierarchical concept parsing recognition technique, and a formalism for the specification of algorithmic concepts, is presented. Based on this technique, the design and development of ALCOR, a production rule based system for automatic recognition of algorithmic concepts within programs, aimed at support of knowledge based reengineering for high performance, is presented.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Algorithmic Concept Recognition to Support High Performance Code Reengineering
T2 - IEICE TRANSACTIONS on Information
SP - 1743
EP - 1750
AU - Beniamino DI MARTINO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2004
AB - Techniques for automatic program recognition, at the algorithmic level, could be of high interest for the area of Software Maintenance, in particular for knowledge based reengineering, because the selection of suitable restructuring strategies is mainly driven by algorithmic features of the code. In this paper an automated hierarchical concept parsing recognition technique, and a formalism for the specification of algorithmic concepts, is presented. Based on this technique, the design and development of ALCOR, a production rule based system for automatic recognition of algorithmic concepts within programs, aimed at support of knowledge based reengineering for high performance, is presented.
ER -
English
