| H.L. Ong, S. Long and H.Y. Lee. Machine Discovery of Static Software Reuse Potential Metrics. In Proc. 2nd Singapore Intl. Conf. on Intelligent Systems (SPICIS '94), Singapore, p. B289-B291, 1994. |
....rules, where the information is represented as attributes or relationships. In the area of reverse engineering, Inductive Logic Programming (ILP) has been used to discover specifications from C code [7] Another application used machine learning and metrics to discover reusable software components [11], for classification into a reuse library. Rather than discovering software specification of the whole system, we focus on identifying common and similar components candidate for restructuring in slices of programs. 3.1 Problem Definition Currently, it can be viewed that software development is ....
H.L. Ong, S. Long and H.Y. Lee. Machine Discovery of Static Software Reuse Potential Metrics. In Proc. 2nd Singapore Intl. Conf. on Intelligent Systems (SPICIS '94), Singapore, p. B289-B291, 1994.
....execution views, with background knowledge consisting of the table relations. The technique uses inductive reasoning about the behaviour of the code, rather than deductive reasoning of static code. Another application used machine learning and metrics to discover reusable software components [14], for classification into a reuse library. Potential usefulness is for software construction, and 3 building knowledge bases for program recognition and understanding in reverse engineering. Rather than discovering software specification of the whole system, we focus on abstracting common and ....
H.L. Ong, S. Long and H.Y. Lee. Machine Discovery of Static Software Reuse Potential Metrics. In Proc. 2nd Singapore Intl. Conf. on Intelligent Systems (SPICIS'94), Singapore, p. B289-B291, 1994.
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