DocumentCode
2758686
Title
TTCN-3 Based Robustness Test Generation and Automation
Author
Xu, Luo ; Wu, Ji ; Liu, Chao
Author_Institution
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Volume
2
fYear
2009
fDate
25-26 July 2009
Firstpage
120
Lastpage
125
Abstract
Robustness testing is a widely accepted approach to detect potential robustness weaknesses. However, the existing robustness testing approach suffers from some limitations, especially lacking support for automatic extraction of the SUT(System Under Test) specification knowledge, such as input syntax and interaction scenario. Such information is crucial for robustness test generation. In this paper, we present a TTCN-3 based robustness test generation and automation approach. The approach at first extracts the input syntax of SUT from TTCN-3 functional test suite; then generates invalid inputs according to the input syntax; at last automates the test execution by reusing the interaction scenarios defined in functional test cases to achieve invalid input injection and test verdict determination. We conducted a case study on three widely used SIP terminals. In the case study, our approach detected several different robustness problems in all three SIP terminals, and some of them are critical.
Keywords
computational linguistics; formal specification; program testing; software reusability; SUT input syntax; TTCN-3 functional test suite; interaction scenario reusing; robustness automation; robustness test generation; robustness weaknesses detection; system under test specification knowledge; Automatic testing; Automation; Computer science; Data mining; Information technology; Protocols; Robustness; System testing; Telecommunication standards; Vehicle crash testing; Robustness Testing; SIP; TTCN-3; Test Automation; Test Generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location
Kiev
Print_ISBN
978-0-7695-3688-0
Type
conf
DOI
10.1109/ITCS.2009.164
Filename
5190196
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