Combinatorial Test Design - TAU

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ements are equivalentExample: two hosts (x86 / PowerPC), two storage devices (Enterprise /Mid-Range / Low-End)

Multiplicity and Symmetry – cont.Naïve Model:–Host1 – x86 / PowerPC–Host2 – x86 / PowerPC–Storage1 – Enterprise / MidRange / LowEnd–Storage2 – Enterprise / MidRange / LowEndcy !nadnudele RbissoP:gWarnin)LowEnd 1egarotEnd) x86, Swt1osLo h1(e,glePossiba86, StorxFor examp 2tle Resoh(dalent touivnunqFor exaedebaymacy !mple, (host1 may bex86, hoequivalst2 Poent to (werPChost2 )x86, host1 x86)Warning:

Multiplicity and Symmetry – cont.Possible Solution:–numX86Running – 0 / 1 / 2–numPowerPCRunning – 0 / 1 / 2–numEnterpriseRunning – 0 / 1 / 2–numMidRangeRunning – 0 / 1 / 2–numLowEndRunning – 0 / 1 / 2–Not allowed: numX86Running numPowerPCRunning ! 2 numEnterpriseRunning numMidRangeRunning numLowEndRunning ! 2

Multiplicity and Symmetry – cont.An alternative approach:A tool and algorithm that supports designating equivalent parameters–And whether internal interactions are equivalentRequires a tool and algorithm that support dynamically changingcoverage requirements

Open ChallengesMuch better handling of existing data/tests–Existing test plans are almost never in the form we want them–In fact, often they’re not even structuredLifecycle of combinatorial models–Software systems evolve–The combinatorial models used for testing them should evolverespectively–Strive for minimal changes to the test suitesModel reuse, multi-model supportHigh-level combinatorial modeling language

SummaryCombinatorial Test Design is an effective test planning technique– Shift left: Handle your coverage concerns as early as possibleReduced redundancies, controlled risksApplicable at any stage of the development life cycle– Unit testing, function testing, system testing, integration testingInteresting combinatorial problemMany challenges for real-life deployment– Restrictions, negative testing, modeling patterns, concrete test case generation,utilization of existing test cases, software evolution, and more We believe that experience from real-life deployment should drive theresearch on CTD– Identifies the pain points that limit wide deployment by industry– Enables suitable solutions that can be adopted by industry

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In the mid-40s, orthogonal arrays were introduced by C. R. Rao to set the experiment plan From the mid-80s, orthogonal arrays were used for combinatorial testing of software and systems – R. Mandl, “Orthogonal

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