Automatic Derivation of Test Cases for LOTOS Expressions with Data Parameters.

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Bibliographic Details
Title: Automatic Derivation of Test Cases for LOTOS Expressions with Data Parameters.
Authors: Xiang Dong Li1, Higashino, Teruo1, Taniguchi, Kenichi1
Source: Electronics & Communications in Japan, Part 1: Communications. Mar1994, Vol. 77 Issue 3, p1-14. 14p.
Subjects: LOTOS (Computer program language), Programming languages, Electronic data processing, Integer programming, Boolean algebra, Algorithms
Abstract: It is known as generally impossible to generate automatically the test cases for arbitrary LOTOS expression containing data parameters. A subclass of LOTOS, called P-LOTOS, is defined. In P-LOTOS, the data type is restricted to be integer and Boolean and the operation on the integer is restricted to be the addition/subtraction and comparison. This paper presents an algorithm for automatic generation of the test cases for this class of LOTOS descriptions. Algorithms also are presented solving the detection problems for the deadlocks, the unexecutable edges, sad the nondeterministic branches, The proposed algorithm is applied to a simplified OSI session protocol, and the result is reportod in this paper. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:It is known as generally impossible to generate automatically the test cases for arbitrary LOTOS expression containing data parameters. A subclass of LOTOS, called P-LOTOS, is defined. In P-LOTOS, the data type is restricted to be integer and Boolean and the operation on the integer is restricted to be the addition/subtraction and comparison. This paper presents an algorithm for automatic generation of the test cases for this class of LOTOS descriptions. Algorithms also are presented solving the detection problems for the deadlocks, the unexecutable edges, sad the nondeterministic branches, The proposed algorithm is applied to a simplified OSI session protocol, and the result is reportod in this paper. [ABSTRACT FROM AUTHOR]
ISSN:87566621
DOI:10.1002/ecja.4410770301