Though Inductive Logic Programming (ILP for short) should mean the "induction of Logic Programs", most research and applications of this area are only loosely related to Logic Programming. In fact,the automatic synthesis of "true" logic programs is a difficult task,since it cannot be done without a lot of information on the sought programs, and without the ability to describe in a simple way well restricted searching spaces. In this chapter we argue that, if such knowledge is available, Inductive Logic programming can be used as a valid tool for Software Engineering, and we propose an integrated framework for the development, maintenance, reuse, testing and debugging of logic programs.

ILP Applications to Software Engineering

GUNETTI, Daniele
2007-01-01

Abstract

Though Inductive Logic Programming (ILP for short) should mean the "induction of Logic Programs", most research and applications of this area are only loosely related to Logic Programming. In fact,the automatic synthesis of "true" logic programs is a difficult task,since it cannot be done without a lot of information on the sought programs, and without the ability to describe in a simple way well restricted searching spaces. In this chapter we argue that, if such knowledge is available, Inductive Logic programming can be used as a valid tool for Software Engineering, and we propose an integrated framework for the development, maintenance, reuse, testing and debugging of logic programs.
2007
Advances in Machine Learning Applications in Software Engineering.
Idea Group Inc.
74
102
9781591409427
Inductive Logic Programming; Software Engineering; Machine Learning
D. GUNETTI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/28688
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