Remove Continuous Delivery Remove Engineering Culture Remove Software
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Nurturing Design in Your Software Engineering Culture

Strategic Tech

There are a few qualities that differentiate average from high performing software engineering organisations. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. They prefer to work in isolation and just deliver.

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Is the Paved Road right for you?

Xebia

For instance, it is in the CISO’s best interests to help set up the compliance and security tests to ensure the software being rolled out is as secure as possible, especially if you want continuous delivery. And this does not just include development teams; the Paved Road weaves through multiple departments. Conclusion.

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Grown-Up Lean

LeanEssays

Lean was introduced to software a couple of decades ago. The Nature of Software “Do not go where the path may lead, go instead where there is no path and leave a trail” -- Ralph Waldo Emerson It’s May 27, 1997. I show that these models derive from opposing assumptions about the nature of the software-debugging task.

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5 ways to do Continuously Improved Testing

Xebia

In many organizations, automated testing lags behind and becomes a bottleneck for successful continuous delivery. Either tests do not provide enough confidence or companies take a very traditional approach, resulting in releases either introducing substantial risks or becoming costly.

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Turning Domain Discovery into Product and Organizational Improvements with a DDD Exemplar

Strategic Tech

In companies with many teams and many millions of lines of code, including a lot of legacy, there are endless things that can be improved in the product, software, and organization. Choosing where to focus is a balancing act: delivering new products, fixing legacy software, and improving engineering culture.

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Improve your Functional Monitoring with the Functional Monitoring Quadrants

Xebia

Functional monitoring is a crucial part of any successful Continuous Delivery implementation. We often see development teams having difficulty striking the right balance between different kinds of monitoring, focusing on observability primarily in terms of technical metrics like error rate.

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Article: Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization

InfoQ Culture Methods

Software testing, especially in large scale projects, is a time intensive process. Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available.