Proceedings of the 3rd International Conference on Computer Science and Service System

Extracting Historical Information and Fault Localization Information that may Contribute to the Effectiveness of Test Case Prioritization

Authors
Lin Chu-Ti, Guo Sin-Ting, Wang Jiun-Shiang, Tsai Chang-Shi
Corresponding Author
Lin Chu-Ti
Available Online June 2014.
DOI
10.2991/csss-14.2014.125How to use a DOI?
Keywords
software maintenance; regression testing; test case prioritization; fault localization
Abstract

The goal of test case prioritization is to schedule the test cases in an order so that the faults in the software will be detected early during the regression testing. So far, a lot of test case prioritization techniques have been proposed and received considerable attention. However, there is currently no universally best approach because the existing techniques prioritize test cases under different considerations. Thus, we plan to propose a hybrid technique that takes into account more than one consideration and hope that this hybrid technique can further improve the effectiveness of test case prioritization. Although we did not construct the hybrid technique yet, we already have some preliminary experimental results that are collected from an investigation into real subject programs and their associated test suites. Therefore, this paper is dedicated to presenting our preliminary observations in this ongoing research project. Additionally, this paper also presents two assumptions based on the observations. These two assumptions should be useful for proposing the hybrid test case prioritization techniques in the future.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.125
ISSN
1951-6851
DOI
10.2991/csss-14.2014.125How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lin Chu-Ti
AU  - Guo Sin-Ting
AU  - Wang Jiun-Shiang
AU  - Tsai Chang-Shi
PY  - 2014/06
DA  - 2014/06
TI  - Extracting Historical Information and Fault Localization Information that may Contribute to the Effectiveness of Test Case Prioritization
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 533
EP  - 536
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.125
DO  - 10.2991/csss-14.2014.125
ID  - Chu-Ti2014/06
ER  -