DocumentCode
1966344
Title
Automated functional testing of search engine
Author
Jin, Lingzi
Author_Institution
New Media Technol. Dept., Yell Group, Reading
fYear
2009
fDate
18-19 May 2009
Firstpage
97
Lastpage
100
Abstract
This paper describes the construction of an automated test framework for search engine and reports our current practice in establishing a process for test automation. The paper presents the technical solutions that overcome the difficulties in search engine testing, which involve large volume of data, complicated ranking rules and randomization in ordering search results. One reason that many test automation efforts failed in industry is because automated scripts are not developed and structured for future maintenance and evolution. The test framework enables effective and efficient reuse and maintenance of test scripts. The paper also discusses issues related to the process of test automation. They are equally as important as overcoming technical barriers. All of these discussed above have been applied to the automated functional testing of a commercial search engine.
Keywords
automatic testing; search engines; automated functional testing; randomization; ranking rules; search engine testing; test automation; Automatic testing; Automation; Databases; Displays; Filters; Logic testing; Project management; Quality assurance; Search engines; Software testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation of Software Test, 2009. AST '09. ICSE Workshop on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-3711-5
Type
conf
DOI
10.1109/IWAST.2009.5069046
Filename
5069046
Link To Document