Regression Test Selection for C# Programs. (8th June 2009)
- Record Type:
- Journal Article
- Title:
- Regression Test Selection for C# Programs. (8th June 2009)
- Main Title:
- Regression Test Selection for C# Programs
- Authors:
- Mansour, Nashat
Statieh, Wael - Other Names:
- Pezzè Mauro Academic Editor.
- Abstract:
- Abstract : We present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting a suitable subset of test cases from the original test suite in order to be rerun. It aims to provide confidence that the modifications are correct and did not affect other unmodified parts of the program. The regression test selection technique presented in this paper accounts for C#.Net specific features. Our technique is based on three phases; the first phase builds an Affected Class Diagram consisting of classes that are affected by the change in the source code. The second phase builds a C# Interclass Graph (CIG) from the affected class diagram based on C# specific features. In this phase, we reduce the number of selected test cases. The third phase involves further reduction and a new metric for assigning weights to test cases for prioritizing the selected test cases. We have empirically validated the proposed technique by using case studies. The empirical results show the usefulness of the proposed regression testing technique for C#.Net programs.
- Is Part Of:
- Advances in software engineering. Volume 2009(2009)
- Journal:
- Advances in software engineering
- Issue:
- Volume 2009(2009)
- Issue Display:
- Volume 2009, Issue 2009 (2009)
- Year:
- 2009
- Volume:
- 2009
- Issue:
- 2009
- Issue Sort Value:
- 2009-2009-2009-0000
- Page Start:
- Page End:
- Publication Date:
- 2009-06-08
- Subjects:
- Software engineering -- Periodicals
Software engineering
Periodicals
Electronic journals
005.1 - Journal URLs:
- https://www.hindawi.com/journals/ase ↗
- DOI:
- 10.1155/2009/535708 ↗
- Languages:
- English
- ISSNs:
- 1687-8655
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10470.xml