Abstract
| Original language | English |
|---|---|
| Title of host publication | International Conference on Applications and Techniques in Cyber Security and Intelligence - Applications and Techniques in Cyber Security and Intelligence |
| Editors | Jemal Abawajy, Kim-Kwang Raymond Choo, Rafiqul Islam |
| Publisher | Springer-Verlag London Ltd. |
| Pages | 247-255 |
| Number of pages | 9 |
| Volume | 580 |
| ISBN (Electronic) | 9783319670713 |
| ISBN (Print) | 9783319670706 |
| DOIs | |
| Publication status | Published - 01 Jan 2018 |
| Event | International Conference on Applications and Techniques in Cyber Security and Intelligence: ATCSI 2017 - Zhejiang Business Technology Institute, Ningbo, China Duration: 16 Jun 2017 → 18 Jun 2017 http://aibd.us/ (Conference website) https://www.springer.com/us/book/9783319670706 (Conference proceedings) |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 580 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | International Conference on Applications and Techniques in Cyber Security and Intelligence |
|---|---|
| Country | China |
| City | Ningbo |
| Period | 16/06/17 → 18/06/17 |
| Other | The 2017 International Conference on Applications and Techniques in Cyber Intelligence (ATCI), building on the previous successes in Guangzhou, China (2016), Dallas, USA (2015), Beijing, China (2014), and Sydney, Australia (2013), is proud to be in the 5th consecutive conference year. Previously, the event is known as the International Workshop on Applications and Techniques in Cyber Security (ATCS 2016), held in conjunction with the International Conference on Security and Privacy in Communication Networks (SecureComm). The 2017 International Conference on Applications and Techniques in Cyber Security and Intelligence focuses on all aspects on techniques and applications in cyber and electronics security and intelligence research. The purpose of ATCI 2017 is to provide a forum for presentation and discussion of innovative ideas, cutting edge research results, and novel techniques, methods and applications on all aspects of cyber and electronics security and intelligence. |
| Internet address |
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A novel swarm intelligence based strategy to generate optimum test data in T-way testing. / Rabbi, Khandakar; Mamun, Quazi; Islam, Md Rafiqul.
International Conference on Applications and Techniques in Cyber Security and Intelligence - Applications and Techniques in Cyber Security and Intelligence. ed. / Jemal Abawajy; Kim-Kwang Raymond Choo; Rafiqul Islam. Vol. 580 Springer-Verlag London Ltd., 2018. p. 247-255 (Advances in Intelligent Systems and Computing; Vol. 580).Research output: Book chapter/Published conference paper › Conference paper
TY - GEN
T1 - A novel swarm intelligence based strategy to generate optimum test data in T-way testing
AU - Rabbi, Khandakar
AU - Mamun, Quazi
AU - Islam, Md Rafiqul
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The limitation of resources and the deadline of software and hardware projects inhibits the exhaustive testing of a system. The most effective way to overcome this problem is to generation of optimal test suite. Heuristic searches are used to optimize the test suite since 1992. Recently, the interest and activities is increasing in this area. In theory, the changes to the parameter interaction (the t) can significantly reduce the number data in the test suite. Using this principle many scientists and practitioners created some effective test suite generation strategies. The implementation of heuristic search in the generation of optimum and minimum test suite is the most effective. However, producing the optimum test data is a NP-hard problem (Non-deterministic polynomial). Thus, it is impossible for any strategy that can produce the optimum test suite in any circumstance. This paper represents a novel swarm intelligent based searching strategy (mSITG) to generate optimum test suite. The performances of the mSITG are analyzed and compared with other well-known strategies. Empirical result shows that the proposed strategy is highly acceptable in terms of the test data size.
AB - The limitation of resources and the deadline of software and hardware projects inhibits the exhaustive testing of a system. The most effective way to overcome this problem is to generation of optimal test suite. Heuristic searches are used to optimize the test suite since 1992. Recently, the interest and activities is increasing in this area. In theory, the changes to the parameter interaction (the t) can significantly reduce the number data in the test suite. Using this principle many scientists and practitioners created some effective test suite generation strategies. The implementation of heuristic search in the generation of optimum and minimum test suite is the most effective. However, producing the optimum test data is a NP-hard problem (Non-deterministic polynomial). Thus, it is impossible for any strategy that can produce the optimum test suite in any circumstance. This paper represents a novel swarm intelligent based searching strategy (mSITG) to generate optimum test suite. The performances of the mSITG are analyzed and compared with other well-known strategies. Empirical result shows that the proposed strategy is highly acceptable in terms of the test data size.
KW - Combinatorial interaction testing
KW - Interaction testing
KW - Software testing
KW - Swarm intelligence
KW - T-way testing
KW - Test case generation
UR - http://www.scopus.com/inward/record.url?scp=85032706236&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032706236&partnerID=8YFLogxK
UR - https://www.springerprofessional.de/en/international-conference-on-applications-and-techniques-in-cyber/15153646
UR - http://aibd.us/
U2 - 10.1007/978-3-319-67071-3_31
DO - 10.1007/978-3-319-67071-3_31
M3 - Conference paper
AN - SCOPUS:85032706236
SN - 9783319670706
VL - 580
T3 - Advances in Intelligent Systems and Computing
SP - 247
EP - 255
BT - International Conference on Applications and Techniques in Cyber Security and Intelligence - Applications and Techniques in Cyber Security and Intelligence
A2 - Abawajy, Jemal
A2 - Choo, Kim-Kwang Raymond
A2 - Islam, Rafiqul
PB - Springer-Verlag London Ltd.
ER -