2002•Unpublished venueRequires access

Using genetic programming for the induction of novice procedural programming solution algorithms

Nelishia Pillay

Abstract

This paper describes a genetic programming system for the induction of solutions to novice procedural programming problems. This genetic programming system will form part of a generic architecture for the development of intelligent programming tutors for the procedural and object-oriented programming paradigms. An account of the primitives and system parameters needed for the derivation of solutions to problems for each of the introductory procedural programming topics is provided. This is followed by an analysis of the solutions induced by the genetic programming system. Finally, the paper discusses the future work that will be carried as part of the initiative to evaluate genetic programming as a means of inducing solutions to novice procedural and object-oriented programming problems.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Procedural programming, Genetic programming, Computer science, Inductive programming, Functional reactive programming, Functional logic programming, Programming language, Reactive programming