Haldar, Susmita (2005) Program slicing based source code feature extraction. Masters thesis, Concordia University.
- Accepted Version
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)|
|Pagination:||viii, 124 leaves : ill. ; 29 cm.|
|Degree Name:||M. Comp. Sc.|
|Program:||Computer Science and Software Engineering|
|Thesis Supervisor(s):||Rilling, Juergen|
|Deposited By:||Concordia University Libraries|
|Deposited On:||18 Aug 2011 18:20|
|Last Modified:||18 Aug 2011 18:20|
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