跳到主要导航 跳到搜索 跳到主要内容

Adaptive fault detection in multi-tenancy Saas systems

  • Wei Tek Tsai
  • , Guanqiu Qi*
  • *此作品的通讯作者
  • Arizona State University

科研成果: 书/报告/会议事项章节章节同行评审

摘要

This chapter discusses combinatorial testing in multi-tenancy Software-as-a-Service (SaaS) system. SaaS often uses multi-tenancy architecture (MTA) where tenant developers compose their applications online using the components stored in the SaaS database. Tenant applications need to be tested, and combinatorial testing can be used. While numerous combinatorial testing techniques are available, most of them produce static sequence of test configurations and their goal is often to provide sufficient coverage such as 2-way interaction coverage. But the goal of SaaS testing is to identify those compositions that are faulty for tenant applications. In this chapter, it proposes an adaptive test configuration generation algorithm called adaptive reasoning (AR) that can rapidly identify those faulty combinations so that those faulty combinations cannot be selected by tenant developers for composition. Whenever a new component is submitted to the SaaS database, the AR algorithm can be applied so that any faulty interactions with new components can be identified to continue to support future tenant applications.

源语言英语
主期刊名SpringerBriefs in Computer Science
出版商Springer
25-36
页数12
版本9789811044809
DOI
出版状态已出版 - 2017
已对外发布

出版系列

姓名SpringerBriefs in Computer Science
编号9789811044809
0
ISSN(印刷版)2191-5768
ISSN(电子版)2191-5776

学术指纹

探究 'Adaptive fault detection in multi-tenancy Saas systems' 的科研主题。它们共同构成独一无二的学术指纹。

引用此