상세정보
학술지
Possibility of Cost Reduction by Mutant Clustering According to the Clustering Scope
- 발행일
- 201901
- 출처
- Software Testing, Verification and Reliability, v.29 no.1-2, pp.1-24
- ISSN
- 0960-0833
- 출판사
- John Wiley & Sons
- 협약과제
- 18HS6400, 인공지능 시스템을 위한 뉴로모픽 컴퓨팅 SW 플랫폼 기술 개발, 김태호
- 초록
- Mutation testing offers developers a good way to improve the quality of a test set. However, the high cost of executing a large number of mutants remains an issue. This paper examines the possibility of reducing the cost of statement-level mutant clustering by comparing the number of mutant executions with those of expression-level and block-level mutant clustering. The goal is to investigate to what extent the clustering scope should be extended. The experimental results using nine real-world programs show that statement-level clustering can reduce the mutant executions that are required by expression-level clustering by 10.51% on average. Block-level clustering exhibits an unexpected result; the number of mutant executions with block-level clustering is only 1.06% times less than that with statement-level clustering. That is, statement-level clustering is more cost-effective than block-level clustering when considering their clustering overheads. A compound expression plays a major role in providing a cost-reduction effect in statement-level clustering. With a compound expression, the number of candidate mutants to be clustered in a statement scope increases, and state change can be comprehensively examined, thereby increasing the possibility of cost reduction. © 2018 John Wiley & Sons, Ltd.
- KSP 제안 키워드
- Mutation Testing, Real-world, Reduction effect, State change, Test Set, cost reduction, cost-effective