Agent-based automated compatibility software test for NLSF

Liang Liu, Xing She Zhou, Jian Hua Gu, Zhi Yi Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Automated software test is often viewed as a cure-all that will instantly reduce test cost and effort. However, without up-front planning and infrastructure design, automated tests can quickly become difficult to create and maintain, and automated software test programs nothing than garbage. This paper first discusses the requirements and challenges in developing automated software test system for Network Load Sharing Facility (NLSF) compatibility. Then this paper brings forward an adaptive multi-agent-based software test system. The architecture of the system and interaction of the system and NSLF is discussed in details. By the work of the two parts, this paper tries to research how to initiate a successful automation test and how to implement it for a large distributed computing system.

Original languageEnglish
Title of host publicationInternational Conference on Machine Learning and Cybernetics
Pages1986-1989
Number of pages4
StatePublished - 2003
Event2003 International Conference on Machine Learning and Cybernetics - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume4

Conference

Conference2003 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Adaptive
  • Agent
  • Software Test System

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