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	<title>/dev/psychology &#187; evidence</title>
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		<title>Evidence-driven software engineering</title>
		<link>http://p.einarsen.no/evidence-driven-software-engineering/</link>
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		<pubDate>Sun, 27 Sep 2009 19:17:30 +0000</pubDate>
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		<category><![CDATA[engineering]]></category>
		<category><![CDATA[evidence]]></category>
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		<guid isPermaLink="false">http://p.einarsen.no/?p=178</guid>
		<description><![CDATA[Basing software development decisions on research and controlled experiments currently has some challenges involved with it. One is that there is very little research available: In a survey of research literature, a set of researchers with the IEEE Computer Society found that in the decade from 1993 to 2002 only 103 scientific controlled experiments on [...]]]></description>
			<content:encoded><![CDATA[<p>Basing software development decisions on research and controlled experiments currently has some challenges involved with it. One is that there is very little research available: In <a href="http://www2.computer.org/portal/web/csdl/doi/10.1109/TSE.2005.97" target="_blank">a survey of research literature</a>, a set of researchers with the <a href="http://search3.computer.org/portal/web/guest/home" target="_blank">IEEE Computer Society</a> found that in the decade from 1993 to 2002 only 103 scientific controlled experiments on software development was reported. In addition to that, a fair amount of these experiments has execution problems and often suffer from small sample sizes and non-significant results. Add that experiments often look into only a very small part of computer programming and the papers often take quite some time to read and digest, and it seems apparent why research and evidence-backing is so limited in the world of software engineering.</p>
<p>Meet <a href="http://www.evidencebasedse.com/">SEED: The Software Engineering Evidence Database.</a> This is a project from California Polytechnic trying to make empirical evidence-based research on software engineering easily accessible. Acknowledging that &#8220;<em>software developers are known for adopting new technologies and practices based solely on their novelty, promise, or anecdotal evidence</em>&#8220;, the university researchers have tried to put together a database of experiment summaries on topics of interest to software developers.</p>
<p>The database covers subject such as <a href="http://www.evidencebasedse.com/?q=taxonomy/term/14" target="_blank">OO Metrics</a>, <a href="http://www.evidencebasedse.com/?q=taxonomy/term/10">Design Patterns</a>, <a href="http://www.evidencebasedse.com/?q=taxonomy/term/7" target="_blank">Testing</a> and more, and the 200+ current summaries are written by graduate students and are provided with quality ratings. The goals of the project can be summarized as:</p>
<blockquote><p>The concept of a community-driven Web database was proposed to engage Net generation students and softwareprofessionals with evidence-based software engineering. We deliberately chose the social networking approach of user-generated and reviewed content as a way to implement SEEDS since we thought that students would more easily relate to the course project and be more enthusiastic about it.</p></blockquote>
<p>Also have a look at the project summary: &#8220;<a href="http://www.sciencedirect.com/science?_ob=ArticleURL&amp;_udi=B6V0N-4VCWG4Y-1&amp;_user=10&amp;_rdoc=1&amp;_fmt=&amp;_orig=search&amp;_sort=d&amp;_docanchor=&amp;view=c&amp;_searchStrId=1025910787&amp;_rerunOrigin=scholar.google&amp;_acct=C000050221&amp;_version=1&amp;_urlVersion=0&amp;_userid=10&amp;md5=fc445fac5c7c156b058a4532f9f8c7da" target="_blank">Engaging the net generation with evidence-based software engineering through a community-driven web database</a>&#8221; by David S. Janzena  and Jungwoo Ryoob.</p>
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