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
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
Recommended Citation
Gonzales, M. (2002). Retrieving similar buggy programs using MEDD's student model. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/2938