Testing Relative to Usage Scope

Author:

Miranda Breno1ORCID,Bertolino Antonia2ORCID

Affiliation:

1. Federal University of Pernambuco, Recife, Brazil

2. ISTI - CNR, Pisa, Italy

Abstract

Coverage criteria provide a useful and widely used means to guide software testing; however, indiscriminately pursuing full coverage may not always be convenient or meaningful, as not all entities are of interest in any usage context. We aim at introducing a more meaningful notion of coverage that takes into account how the software is going to be used. Entities that are not going to be exercised by the user should not contribute to the coverage ratio. We revisit the definition of coverage measures, introducing a notion of relative coverage. According to this notion, we provide a definition and a theoretical framework of relative coverage, within which we discuss implications on testing theory and practice. Through the evaluation of three different instances of relative coverage, we could observe that relative coverage measures provide a more effective strategy than traditional ones: we could reach higher coverage measures, and test cases selected by relative coverage could achieve higher reliability. We hint at several other useful implications of relative coverage notion on different aspects of software testing.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cross-coverage testing of functionally equivalent programs;2023 IEEE/ACM International Conference on Automation of Software Test (AST);2023-05

2. Measuring and achieving test coverage of attack simulations extended version;Software and Systems Modeling;2022-09-17

3. Extending Data Flow Coverage to Test Constraint Refinements;Lecture Notes in Computer Science;2022

4. Priority-wise Test Case Allocation using Fuzzy Logic;International Journal of System Assurance Engineering and Management;2021-08-24

5. Encoding Test Cases using Execution Traces;2021 12th International Conference on Information and Communication Systems (ICICS);2021-05-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3