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Prikvačeni tweet
CodeScene 3.0 is out! It's a complete re-design to make the analysis data easily actionable, fit into your existing workflows such as CI/CD and reporting, and to adapt the analysis information to different stakeholders. Check out all the great news here: https://empear.com/blog/codescene-release-3_0/ …pic.twitter.com/k3hSVfuMX7
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We recently added support for the excellent
@elixirlang to CodeScene. Check out our showcase analysis of the cool@elixirphoenix here: https://codescene.io/projects/6863/jobs/19416/results …pic.twitter.com/rZH79Earbv
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CodeScene proslijedio/la je Tweet
CodeScene is a powerful visualization tool for identifying social patterns in your code, detecting delivery risks and managing technical debt. Get a free student account to analyze your repos with the
@github Student Developer Pack. http://education.github.com/pack#GitHubPack https://twitter.com/GitHubEducation/status/1221841330290286592 …pic.twitter.com/DLqvQsCzZv
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How healthy is your codebase? Can we monitor the code health of whole microservice systems too? Find out in our article: https://empear.com/blog/code-biomarkers/ …pic.twitter.com/3qxi1JCixc
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CodeScene proslijedio/la je Tweet
A new episode is up with
@AdamTornhill! Adam and Robby discuss strategies for prioritizing where to start tackling technical debt, and how to improve the onboarding experience for developers new to a codebase https://buff.ly/2uhd8d2#tech#podcastpic.twitter.com/lTLDJRtwm4Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We’re pleased to announce that CodeScene is included in the GitHub Student Developer Pack. This means that CodeScene is available for free to every student developer. Read more here: https://empear.com/blog/codescene-in-github-student-developer-pack/ …
#GitHubPack,#BackToSchool,#GitHubEducation#CodeScenepic.twitter.com/R9shAMLwYX
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With
#microservices, the interesting unit of code analysis is not the file level but the system level. CodeScene lets you monitor the code health of each service just like you would supervise their run-time characteristics: https://empear.com/blog/code-biomarkers/ …pic.twitter.com/Qm3xRV321W
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CodeScene proslijedio/la je Tweet
That's correct: Code Maat cannot do it, but its evolution in
@CodeScene supports these measures. CodeScene on-prem integrates with additional data sources like Jira. I include some screenshots below, and there are more on our product page: https://empear.com/ pic.twitter.com/ZFYf9Yxf0s
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CodeScene proslijedio/la je Tweet
Everyone in software
#testing should try this. Code Scene now supports views that previously have only been available if you paid someone like me to build them for you! Great to see progress in showing change-over-time in#DeploymentPipelineshttps://twitter.com/AdamTornhill/status/1211300266932346886 …
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CodeScene was created to give stakeholders a new vision of their software projects with specific and actionable information that enables software organizations to increase their delivery efficiency. Read our story here: https://empear.com/about/ pic.twitter.com/a9j8o2sZkV
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CodeScene proslijedio/la je Tweet
if you're interested in this topic, I talked to
@csirac2 a while ago about applying bioinformatics methods to software, and he pointed me to http://codescene.io , a tool that tries to quantify issues like knowledge loss or code fragmentationhttps://twitter.com/Carnage4Life/status/1207411078658842624 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks for the feedback! CodeScene was indeed designed as a reaction and complement to traditional tools. We have a blog on how CodeScene differs here: https://empear.com/blog/code-analysis-tool/ …https://twitter.com/whitequark/status/1207819497320714245 …
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How does CodeScene pull off its technical debt predictions? Black Magic? No, reality is slightly more mundane (but not much): lots of historic data from real-world codebases which makes it possible to apply algorithms and machine learning: https://empear.com/blog/codescene-predict-future-code-quality-issues/ …
#docker#codepic.twitter.com/3ZIa5DtaZo
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Thanks! Yes, in addition to its technical metrics, CodeScene also measures Organizational Complexity and predicts delivery risks. We have one example here: https://empear.com/blog/codescene-ci-cd-quality-gates/ …https://twitter.com/serbrech/status/1207334557361438721 …
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Shaping the next generation of software quality visualisation tools requires something extra. That's why CodeScene's advisory board is made up of industry leaders who have had a major impact on our field. Read more about CodeScene and our approach here: https://empear.com/about/ pic.twitter.com/jHbe72KKh8
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Meet
@AdamTornhill, the founder of CodeScene, to see why we need to go beyond code to truly understand large-scale software systems:https://www.youtube.com/watch?v=tbCA2JiO_K8 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
What happens when you add more people to a software project? Find out how you can detect and prevent negative scaling effects in your organization: https://empear.com/blog/visualize-brooks-law/ …pic.twitter.com/wrIAUBWtjf
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Do you maintain the same quality on your test automation code as in the application code? Find out how you can explore your test code via our interactive visualizations. This example is from
@aspnet and is available here: https://codescene.io/projects/168/jobs/17666/results/code/hotspots/system-map …pic.twitter.com/TsGwr7e0aZ
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CodeScene proslijedio/la je Tweet
I use the cycle time from branch creation until it's merged. In practice, it's tricky to implement due to all different branch/merge strategies. We spent lots of time on implementing that support in
@codescene: https://empear.com/blog/branch-delivery-risks/ …pic.twitter.com/XGKZKYdpXc
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CodeScene proslijedio/la je Tweet
I have a blog post on how I use
@codescene to measure the social side of code, including Conway's Law: https://empear.com/blog/measure-conways-law/ …https://twitter.com/samnewman/status/1196702075012419584 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
CodeScene proslijedio/la je Tweet
In terms of looking more at the social metrics - code ownership comes to mind - this is where
@AdamTornhill’s@codescene is worth a look, as this could likely help identify “anti-Conway” situationsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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