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	<title>Joseph Wilk &#187; metrics</title>
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	<link>http://blog.josephwilk.net</link>
	<description>on AI, The Web, Usability, Testing &#38; Software process</description>
	<lastBuildDate>Tue, 24 Aug 2010 19:06:27 +0000</lastBuildDate>
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		<title>Limiting Red: Smarter Test Builds Through Metrics</title>
		<link>http://blog.josephwilk.net/ruby/limiting-red-smarter-test-builds-through-metrics.html</link>
		<comments>http://blog.josephwilk.net/ruby/limiting-red-smarter-test-builds-through-metrics.html#comments</comments>
		<pubDate>Sun, 15 Aug 2010 02:28:31 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Ruby]]></category>
		<category><![CDATA[Cucumber]]></category>
		<category><![CDATA[metrics]]></category>

		<guid isPermaLink="false">http://blog.josephwilk.net/?p=1630</guid>
		<description><![CDATA[The Current State of the Art In the Ruby world there is a wealth of metrics which can provide insight into our code. Looking at such things as: Structural similar code (Flay) Complexity (Flog) Cyclic complexity (Saikuro) Code smells (Reek) Design issues (Roodi) File change frequencies (Churn) When it comes to metrics involving our tests we [...]]]></description>
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		<slash:comments>8</slash:comments>
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		<title>Metrics for Plain Text Acceptance Tests</title>
		<link>http://blog.josephwilk.net/ruby/metrics-for-plain-text-acceptance-tests.html</link>
		<comments>http://blog.josephwilk.net/ruby/metrics-for-plain-text-acceptance-tests.html#comments</comments>
		<pubDate>Tue, 10 Nov 2009 20:37:19 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Ruby]]></category>
		<category><![CDATA[Cucumber]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[Testing]]></category>

		<guid isPermaLink="false">http://blog.josephwilk.net/?p=970</guid>
		<description><![CDATA[There has been lots of activity around the value of metrics for source code and tests. In the Ruby world tools like metric_fu provide a wealth of analysis. While working on my Cucumber talk for Rails Underground I started investigating how we could apply metrics to the customer focused plain text of Cucumber. For those [...]]]></description>
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		<slash:comments>6</slash:comments>
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		<title>Ruby Metric-fu Hudson plugin</title>
		<link>http://blog.josephwilk.net/ruby/ruby-metric-fu-hudson-plugin.html</link>
		<comments>http://blog.josephwilk.net/ruby/ruby-metric-fu-hudson-plugin.html#comments</comments>
		<pubDate>Sun, 04 Oct 2009 20:36:02 +0000</pubDate>
		<dc:creator>Joseph Wilk</dc:creator>
				<category><![CDATA[Ruby]]></category>
		<category><![CDATA[Java]]></category>
		<category><![CDATA[metrics]]></category>

		<guid isPermaLink="false">http://blog.josephwilk.net/?p=1102</guid>
		<description><![CDATA[I have written a plugin for the continuous integration server Hudson which uses a metric-fu rake task at its core to build and present graphs representing different metrics over successful builds. It currently supports: Flog (Complexity) Flay (Duplication) Rcov (Code coverage) The source is available on Github: http://github.com/josephwilk/rubymetricfu Installing Currently all Hudson’s plugins are stored [...]]]></description>
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		<slash:comments>1</slash:comments>
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