1995
DOI: 10.1109/32.464549
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The automatic generation of load test suites and the assessment of the resulting software

Abstract: Three automatic test case generation algorithms intended to test the resource allocation mechanisms of telecommunications software systems are introduced. Although these techniques were specifically designed for testing telecommunications software, they can be used to generate test cases for any software system that is modelable by a Markov chain provided operational profile data can either be collected or estimated. These algorithms have been used successfully to perform load testing for several real industri… Show more

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Cited by 139 publications
(68 citation statements)
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“…-Both the empty referrer and external referrer categories also provide information about the entry points to the models. -The overall referral pairs ranked by usage frequency can be used to test commonly used referral pairs, much like the testing of frequently used call pairs in [1].…”
Section: Discussion and Other Uses Of Referral Pair Analysismentioning
confidence: 99%
“…-Both the empty referrer and external referrer categories also provide information about the entry points to the models. -The overall referral pairs ranked by usage frequency can be used to test commonly used referral pairs, much like the testing of frequently used call pairs in [1].…”
Section: Discussion and Other Uses Of Referral Pair Analysismentioning
confidence: 99%
“…Both approaches do not address concurrent programs. Avritzer and Weyuker describe algorithms to create tests for concurrent telecommunication systems [4]. Their approach is limited to systems that can be modeled as Markov chains.…”
Section: Test Generationmentioning
confidence: 99%
“…Alternatively, ATCG techniques could be classified according to the software artifact that they operate on. For example, there has been work with generating tests from specifications [12,33,37], from formal models [1,27,51], and from code [2,5,25,26].…”
Section: Automated Test Generation Techniques For Imperative Languagesmentioning
confidence: 99%