DocumentCode
3402092
Title
Context independent unique sequences generation for protocol testing
Author
Ramalingom, T. ; Thulasiraman, K. ; Das, Anindya
Author_Institution
Bell-Northern Res., Ottawa, Ont., Canada
Volume
3
fYear
1996
fDate
24-28 Mar 1996
Firstpage
1141
Abstract
A number of test sequence generation methods proposed for protocols represented as extended finite state machines (EFSMs) use state identification sequences for checking the states. However, neither a formal definition nor a method of computation of these sequences for an EFSM state is known. We define a new type of state identification sequence, called context independent unique sequence (CIUS) and present an algorithm for computing it. A unified method based on CIUSes is developed for automatically generating executable test cases for both control flow and data flow aspects of an EFSM. In control flow testing, CIUSes are very useful in confirming the tail state of the transitions. In data flow testing, CIUSes improve the observability of the test cases for the def-use associations of different variables used in the EFSM. Unlike general state identification sequences, the use of CIUSes does not increase the complexity of the already intractable feasibility problem in the test case generation
Keywords
automatic testing; conformance testing; data flow computing; finite state machines; formal specification; protocols; sequences; state estimation; EFSM state; algorithm; context independent unique sequences generation; control flow; control flow testing; data flow testing; executable test cases; extended finite state machines; formal definition; protocol testing; state identification sequence; state identification sequences; tail state transitions; test case generation; test cases observability; test sequence generation methods; Application software; Automata; Automatic testing; Computer science; Concatenated codes; Observability; Protocols; Standards organizations; Tail;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM '96. Fifteenth Annual Joint Conference of the IEEE Computer Societies. Networking the Next Generation. Proceedings IEEE
Conference_Location
San Francisco, CA
ISSN
0743-166X
Print_ISBN
0-8186-7293-5
Type
conf
DOI
10.1109/INFCOM.1996.493058
Filename
493058
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