Generating combinatorial test suite for interaction relationship

Wang Ziyuan, Nie Changhai, Xu Baowen
2007 Fourth international workshop on Software quality assurance in conjunction with the 6th ESEC/FSE joint meeting - SOQUA '07  
Combinatorial testing could detect the faults triggered by the interactions among factors in software. But in many cases, the pair-wise, N-way and even the variable strength combinatorial testing may lead test suite redundancy and fault detect ability decreasing, because these methods do not make sufficient consideration on the actual factors interaction. In this paper, a new interaction relationship based combinatorial testing model was proposed to cover the actual factor interactions in
more » ... re by extending the conventional combinatorial testing model and IO relationship testing model. The new method may be more effectively than existed combinatorial testing methods without decrease of the fault detect ability. Furthermore, two test suite generation algorithms for interaction relationship based combinatorial testing were also presented. Finally, we compared our algorithms with some similar test generation algorithms in IO relationship testing model, and the experience result showed the advantage of our algorithms.
doi:10.1145/1295074.1295085 dblp:conf/soqua/WangNX07 fatcat:zx6vcn7c5zhdtb3dolab6vy7pa