Combinatorial searching-based software testing (CSST) is a challenging optimization
procedure. The achievement of optimal solutions involves a careful formulation of the …

Search-based software engineering that involves the deployment of meta-heuristics in
applicable software processes has been gaining wide attention. Recently, researchers have …

Exhaustive testing of occurred interaction amongst components (ie, parameters and values)
of a software system is usually impossible due to some factors such as the restriction of …

为更好地解决移动机器人路径规划问题, 改进蝙蝠算法的寻优性能, 拓展其应用领域,
提出了一种具有反向学习和正切随机探索机制的蝙蝠算法. 在全局搜索阶段的位置更新中引入 …

Exhaustive testing is a very strenuous undertaking due to its numerous combinations.
Consequently, searching for and sampling an optimal test suite from viable groups of test …

Software testing becoming significant part of our daily life due to a software-development
process that led to increase the components number and the associated time. Due to the …

Indubitably, exhaustive testing is impractical in real world. Several sampling strategies have
been introduced to minimize test data systematically. Complementing existing interaction …

Hybrid Artificial Bee Colony (HABC) Strategy is latterly developed based on hybridize of an
artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. In …

In order to improve the convergence speed and optimization accuracy of the bat algorithm, a
bat optimization algorithm with moderate optimal orientation and random perturbation of …

Abstract t-way interaction testing is a systematic approach for exhaustive test set generation.
It is a vital test planning method in software testing, which generates test sets based on …