Search : [ keyword: search strategy ] (2)

Bounded Search Strategies of Concolic Testing for Effective and Efficient Structural Coverage Achievement

Hansol Choe, Shin Hong

http://doi.org/10.5626/JOK.2021.48.2.201

This paper proposes a loop-bounded search strategy for effective and efficient coverage achievement in concolic testing. In selecting a new path to explore, a loop-bounded search strategy limits the number of iterations in a loop to a certain loop-bound, so that the concolic testing is guided to explore various program behaviors within a limited range. In addition, to extend the range of path exploration gradually, this search strategy increments the loop-bound over test executions based on their coverage achievement rates. We implemented three versions of loop-bounded search strategies based on three existing concolic search strategies of CREST. The experiments with 4 real-world target programs (Vim, Grep, Busybox Awk, and Busybox Sed) showed that CREST achieves a higher branch coverage more quickly when the loop-bounded search strategies are applied.

Automatic Test Case Generation through Concolic Testing to Improve SW Quality of Defense Weapon System

Kunwoo Park, Joohyun Lee, Hyunggon Song, Kyu Tae Cho, Yunho Kim, Moonzoo Kim

http://doi.org/10.5626/JOK.2019.46.9.926

To improve SW quality of defense weapon system, automatic and systematic generation of test cases is necessary; however, that is not the case in the traditional practice of labor-intensive and manual SW testing. The paper applies concolic testing to the defense weapon system SW, effectively generates test cases that achieve high coverage, and discovers defects which contributes to the improvement in SW quality. Also, two methods are proposed using 4 search strategies in concolic testing and using LIA logic, to increase the efficiency of concolic testing for a program with high complexity. In addition, a symbolic modeling method is proposed as an example to extend concolic testing for practitioners.


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