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Value Stream Mapping Gone Wrong Value Stream Mapping is a powerful lean tool that is commonly used in Agile and DevOps implementations as a foundation for continuous improvement and transformation, but its application doesn’t always lead to the expected or desired result. Author Jeff Pierce's article helps you to avoid some of the most common failings companies encounter when they try to implement it.
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Switch Expressions in Java 14 add Simplicity and Agility The article discusses how the new switch statement is simplified and how the new switch expression simplifies. After setting the environment, we’ll discuss what was lacking in the switch statement that makes it less agile. Then, we’ll discuss how Java 14 simplifies switch.
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Embedding Security in a DevOps World Faster DevOps processes also create new challenges. It was difficult enough to add security into a traditional waterfall software development lifecycle with monthly or quarterly releases, but now software updates are released several times a day! What can developers do to build and maintain more secure applications? Here are some ways to encourage better security practices throughout the DevOps lifecycle.
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Infrastructure as Code: The Foundation of Effective DevOps The absence of versioned infrastructure as code (IaC) and automated provisioning undermines one of the most important benefits of DevOps: the ability to version, manage, and control the servers and networking required to run software applications in development, testing, and production. Automating infrastructure setup and continuous monitoring helps keep system environments stable and less susceptible to outages.
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Clean Coding Practices for a Scalable Test Automation Framework Many organizations are looking to expand their automation abilities by designing and developing test automation frameworks. However, we often abandon good coding practices in favor of working as fast as possible. We need to treat this project like any other application development project. Here are three of the most important clean coding practices to keep in mind in order to make a scalable test automation framework.
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11 Reasons Behavior-Driven Development Can Fail There are a lot of advantages to behavior-driven development, but there are also a lot of challenges you can encounter during the implementation. Knowing is half the battle, so be aware of these eleven common stumbling blocks to BDD adoption and outline plans to mitigate them beforehand, and you’ll be able to start reaping the benefits of BDD sooner.
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6 Steps for Succeeding with Test Automation in Agile Lots of test automation efforts in agile software development fail, or at least do not maximize their potential. This article looks at two main reasons test automation may not live up to the expectations that testers and other stakeholders in the agile development process have, then outlines six steps to avoid falling into these traps. Here's how to succeed with test automation in an agile environment.
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Picking the Right Branch-Merge Strategy A good branch-merge strategy facilitates processes among multiple developers and is the basis for any well-functioning DevOps pipeline that uses continuous integration. Let’s explore branching strategies, merging strategies, and how you can put them together in a way that’s right for your team in order to bring quality features to production faster.
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3 Keys to Mastering Test-Driven Development From his decade of teaching thousands of professional software developers how to be effective with test-driven development, David Bernstein has learned that there are three key ingredients for mastering TDD: understanding what it really is, making code reliably testable, and getting hands-on experience. Let’s look at each of these factors to see what it takes to use TDD effectively on your projects.
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For Sustainable Test Automation, Look beyond the Surface When it comes to achieving sustainable test automation, having an appropriate test automation team structure in place is the most important first step to take. This article has some proven practices for a few different test automation adoption scenarios—led by an automation team or a regression team, and with agile adaptations—that have helped organizations enjoy long-term test automation success.
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