A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation
In the last 20 years, many useful t-way strategies (where t indicates the interaction strength) have been developed to help generate test suite for detecting fault due to interaction of inputs. Although useful, existing t-way strategies have assumed sequence-less interactions amongst input para...
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Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang
2016
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ump-159732018-01-18T04:30:08Z http://umpir.ump.edu.my/id/eprint/15973/ A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation Abdullah, Nasser Hujainah, Fadhl Alsewari, Abdulrahman A. Kamal Z., Zamli QA76 Computer software In the last 20 years, many useful t-way strategies (where t indicates the interaction strength) have been developed to help generate test suite for detecting fault due to interaction of inputs. Although useful, existing t-way strategies have assumed sequence-less interactions amongst input parameters. In the case of reactive system, such an assumption is invalid. This paper presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA), for sequence and sequence-less coverage. Experimental results demonstrate the proposed strategy gives sufficiently competitive results as compared with existing works. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15973/1/fskkp-2016-072_079.pdf Abdullah, Nasser and Hujainah, Fadhl and Alsewari, Abdulrahman A. and Kamal Z., Zamli (2016) A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 72-79.. ISBN 978-967-2054-04-7 http://icecinno.ump.edu.my/index.php/en/documents/pdf-files/proceeding-2016/135-72-79/file |
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QA76 Computer software Abdullah, Nasser Hujainah, Fadhl Alsewari, Abdulrahman A. Kamal Z., Zamli A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
description |
In the last 20 years, many useful t-way
strategies (where t indicates the interaction strength)
have been developed to help generate test suite for
detecting fault due to interaction of inputs. Although
useful, existing t-way strategies have assumed
sequence-less interactions amongst input parameters. In
the case of reactive system, such an assumption is
invalid. This paper presents a unified strategy based on
the new meta-heuristic algorithm, called the Elitist Flower
Pollination Algorithm (eFPA), for sequence and
sequence-less coverage. Experimental results
demonstrate the proposed strategy gives sufficiently
competitive results as compared with existing works. |
format |
Conference or Workshop Item |
author |
Abdullah, Nasser Hujainah, Fadhl Alsewari, Abdulrahman A. Kamal Z., Zamli |
author_facet |
Abdullah, Nasser Hujainah, Fadhl Alsewari, Abdulrahman A. Kamal Z., Zamli |
author_sort |
Abdullah, Nasser |
title |
A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
title_short |
A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
title_full |
A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
title_fullStr |
A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
title_full_unstemmed |
A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation |
title_sort |
unified strategy for sequence and sequence-less t-way test suite generation |
publisher |
Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/15973/ http://umpir.ump.edu.my/id/eprint/15973/ http://umpir.ump.edu.my/id/eprint/15973/1/fskkp-2016-072_079.pdf |
first_indexed |
2023-09-18T22:21:14Z |
last_indexed |
2023-09-18T22:21:14Z |
_version_ |
1777415670252699648 |