tag:calagator.org,2005:/events/searchCalagator: Events tagged with: database testing2011-01-25T04:47:09-08:00tag:calagator.org,2005:Calagator::Event/12504596662011-01-24T17:04:08-08:002011-01-25T04:47:09-08:00Database Testing: Maximum Coverage with a Minimum of DataThursday, February 3, 2011 from 11am-1pm at Kells Irish Restaurant & Pubhttp://calagator.org/events/12504596662011-02-03T11:00:00-08:002011-02-03T13:00:00-08:00<div class="vevent">
<h1 class="summary">Database Testing: Maximum Coverage with a Minimum of Data</h1>
<div class='date'><time class="dtstart dt-start" title="2011-02-03T11:00:00" datetime="2011-02-03T11:00:00">Thursday, February 3, 2011 from 11am</time>–<time class="dtend dt-end" title="2011-02-03T13:00:00" datetime="2011-02-03T13:00:00">1pm</time></div>
<div class="location vcard">
<a href='/venues/202391475' class='url'>
<span class='fn org'>Kells Irish Restaurant & Pub</span>
</a>
<div class="adr">
<div class="street-address">112 Sw 2nd Ave</div>
<span class="locality">Portland</span>
, <span class="region">OR</span>
<span class="postal-code">97204</span>
<div class='country-name'>US<div>
(<a href='https://maps.google.com/maps?q=112%20Sw%202nd%20Ave,%20Portland%20OR%2097204%20US'>map</a>)
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<div class="description">
<p>Maximum Coverage with a Minimum of Data: How Equivalence Classes can be used to narrow down the amount of data needed for analysis</p>
<p>In Quality Assurance, an Equivalence Class is the set of all inputs that can be seen as interchangeable with one another without impacting the results of the test, where only one of them needs to be tested in order to have confidence in the test results. Automation can certainly help facilitate running all scenarios, but it isn't always possible or practical to create a completely automated test suite. This lunch time presentation is ideal for the QA Engineer who is trying create a data set and complimentary set of test cases that accurately validates the code without having to run through a seemingly endless matrix of possibilities.</p>
<p>When making an analysis of the behavior of a system that is based on a large set of data, you have basically three options presented: Full data-set analysis, Analysis of a randomly sampled subset of the data, or Selection of a subset of data based on Equivalence Class Elimination.</p>
<p>In this presentation we will talk about the pro's and con's of each approach, and then focus on how to proceed with the Equivalence Class methodology in greater detail. Please join us for this informative and interactive discussion followed by a Q&A session.</p>
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<h3>Links</h3>
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<li><a class="url" href="http://www.sao.org/events/event_details.asp?id=142068">Website</a></li>
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<div class="tags">
<h3>Tags</h3>
<p><a class="p-category" href="/events/tag/database testing">database testing</a>, <a class="p-category" href="/events/tag/networking">networking</a>, <a class="p-category" href="/events/tag/qa">qa</a>, <a class="p-category" href="/events/tag/saopdx">saopdx</a></p>
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This item was added directly to Calagator <br /><strong>Monday, January 24, 2011 at 5:04pm</strong> and last updated <br /><strong>Tuesday, January 25, 2011 at 4:47am</strong>.
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