Retrieving similar buggy programs using MEDD's student model

Date of Publication

2002

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Software Engineering

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Raymund Sison

Defense Panel Chair

Kai Shan Lim Fernandez

Defense Panel Member

Merlin Cruz
Teresita Limoanco

Abstract/Summary

This study focuses on student model based diagnosis, specifically MEDD's student model, on supporting novices in the context of Case Based Reasoning. A subset of the processes involved in Case Based Reasoning which are building the case library, organizing the cases and retrieving similar cases were performed. Building the case library involves the selection of the appropriate data structure and appropriate index in organizing the cases. Furthermore, retrieving similar cases also involves the identification of the suitable similarity metric being utilized. A program simulation was created and an expert was asked to validate the retrieved cases. It was verified and shown that MEDD's knowledge level error is an appropriate index in organizing the cases and a suitable similarity metric in retrieving similar cases. The appropriate data structure was also presented based on the time and space requirements being utilized. Furthermore, the selection was also based on the percentages of fully organized cases and accurately retrieved cases.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG03336

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 v. (various foliations ; 28 cm.

Keywords

Information storage and retrieval systems; Computer simulation; Programming (Electronic computers); Computer algorithms

This document is currently not available here.

Share

COinS