TY - GEN
T1 - Test-algebra execution in a cloud environment
AU - Wu, Wenjun
AU - Tsai, Wei Tek
AU - Jin, Chao
AU - Qi, Guanqiu
AU - Luo, Jie
PY - 2014/1/1
Y1 - 2014/1/1
N2 - A algebraic system, Test Algebra (TA), identifies faults in combinatorial testing for SaaS (Software-as-a-Service) applications. SaaS is a software delivery model that involves composition, deployment, and execution of mission application on cloud platforms. Testing SaaS applications is challenging because a large number of configurations needs to be tested. Faulty configurations should be identified and corrected before the delivery of SaaS applications. TA proposes an effective way to reuse existing test results to identify test results of candidate configurations. The TA also defines rules to permit results to be combined, and to identify the faulty interactions. Using the TA, configurations can be tested concurrently on different servers and in any order. This paper proposes one MapReduce design of TA concurrent execution in a cloud environment. The optimization of TA analysis is discussed. The proposed solutions are simulated using Hadoop in a cloud environment.
AB - A algebraic system, Test Algebra (TA), identifies faults in combinatorial testing for SaaS (Software-as-a-Service) applications. SaaS is a software delivery model that involves composition, deployment, and execution of mission application on cloud platforms. Testing SaaS applications is challenging because a large number of configurations needs to be tested. Faulty configurations should be identified and corrected before the delivery of SaaS applications. TA proposes an effective way to reuse existing test results to identify test results of candidate configurations. The TA also defines rules to permit results to be combined, and to identify the faulty interactions. Using the TA, configurations can be tested concurrently on different servers and in any order. This paper proposes one MapReduce design of TA concurrent execution in a cloud environment. The optimization of TA analysis is discussed. The proposed solutions are simulated using Hadoop in a cloud environment.
KW - Combinatorial testing
KW - MapReduce
KW - SaaS
UR - http://www.scopus.com/inward/record.url?scp=84903598571&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903598571&partnerID=8YFLogxK
U2 - 10.1109/SOSE.2014.13
DO - 10.1109/SOSE.2014.13
M3 - Conference contribution
AN - SCOPUS:84903598571
SN - 9781479925049
T3 - Proceedings - IEEE 8th International Symposium on Service Oriented System Engineering, SOSE 2014
SP - 59
EP - 69
BT - Proceedings - IEEE 8th International Symposium on Service Oriented System Engineering, SOSE 2014
PB - IEEE Computer Society
T2 - 8th IEEE International Symposium on Service Oriented System Engineering, SOSE 2014
Y2 - 7 April 2014 through 11 April 2014
ER -