"In a Shift-Left world, the idea is to perform testing earlier in the lifecycle. With Dynatrace’s auto-baselining, through its statistical modeling and Holt-Winters smoothing, we can identify regression in code releases early."<監視AIをshift-leftで開発段階のregression検知に活用?

vanbraam のブックマーク 2018/05/28 00:20

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/364893140/comment/vanbraam" data-user-id="vanbraam" data-entry-url="https://b.hatena.ne.jp/entry/s/www.dynatrace.com/news/blog/artificial-intelligence-dynatrace/" data-original-href="https://www.dynatrace.com/news/blog/artificial-intelligence-dynatrace/" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fwww.dynatrace.com%2Fnews%2Fblog%2Fartificial-intelligence-dynatrace%2F" data-user-icon="/users/vanbraam/profile.png">Artificial Intelligence & Dynatrace</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/%E7%9B%A3%E8%A6%96">監視</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/AI%E3%83%BB%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92">AI・機械学習</a>]</li></ul><br><p style="clear: left">&quot;In a Shift-Left world, the idea is to perform testing earlier in the lifecycle. With Dynatrace’s auto-baselining, through its statistical modeling and Holt-Winters smoothing, we can identify regression in code releases early.&quot;&lt;監視AIをshift-leftで開発段階のregression検知に活用?</p><a class="datetime" href="https://b.hatena.ne.jp/vanbraam/20180528#bookmark-364893140"><span class="datetime-body">2018/05/28 00:20</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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