Breadcrumb

 
 

Program slicing based source code feature extraction

Title:

Program slicing based source code feature extraction

Haldar, Susmita (2005) Program slicing based source code feature extraction. Masters thesis, Concordia University.

[img]
Preview
PDF - Accepted Version
5Mb

Abstract

Program comprehension is an essential part of software maintenance. As software systems are becoming larger, understanding the whole program without prior knowledge is a hard task for the developer and the maintainer. Our approach of feature extraction reduces the program understanding complexity by identifying features based on input and output statements at the source code level. The presented feature extraction approach is a semi-automatic approach that only requires source code and test cases to identify and extract features. This approach utilizes program slicing, a program reduction technique to extract statements that implement an identified feature. The algorithm is implemented within the CONCEPT (C[barbelow]omprehension O[barbelow]f N[barbelow]et- CE ntered P[barbelow]rograms and T[barbelow]echniques) project. A case study using an open source project called JUnit was conducted to evaluate the applicability of the proposed approach.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Haldar, Susmita
Pagination:viii, 124 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Date:2005
Thesis Supervisor(s):Rilling, Juergen
ID Code:8254
Deposited By:Concordia University Libraries
Deposited On:18 Aug 2011 14:20
Last Modified:18 Aug 2011 14:20
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Document Downloads

More statistics for this item...

Concordia University - Footer