跳到主要导航 跳到搜索 跳到主要内容

Adaptive reasoning algorithm with automated test cases generation and test algebra in Saas system

  • 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

A new integrated testing framework is proposed to use adaptive reasoning algorithm with automated test cases generation (ARP) and test algebra (TA) for increasing SaaS testing efficiency in faulty combination identification and elimination. The ARP algorithm has been evaluated by both simulation and real experimentation using a MTA SaaS sample running on GAE (Google App Engine). Both the simulation and experiment show that the ARP algorithm can identify those faulty combinations rapidly and TA can eliminate a large number of faults from candidate test set with a small number of seeded faults.

源语言英语
主期刊名SpringerBriefs in Computer Science
出版商Springer
83-99
页数17
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 reasoning algorithm with automated test cases generation and test algebra in Saas system' 的科研主题。它们共同构成独一无二的学术指纹。

引用此