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Using Agile and DevOps to Achieve Quality by Design When software nears completion, it is the wrong time to focus on quality. Product delivery improves if you invest in a plan, validate in small increments, and focus on continuous testing.
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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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Test-Driven Service Virtualization Because enterprise applications are highly interconnected, development in stages puts a strain on the implementation and execution of automated testing. Service virtualization can be introduced to validate work in progress while reducing the dependencies on components and third-party technologies still under development.
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A Case for Test-First Development You may feel you don't have time to write unit tests, but you really don't have time not to. Steve Poling makes the case that writing tests first not only will yield better code, but will help you get that code working right sooner. Here's how using a test-first approach changes your thinking about coding, lets you see mistakes immediately, and helps you create more testable code.
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Adopt an Innovative Quality Approach to Testing How much testing is really enough? Given resources, budget, and time, the goal of comprehensive testing seems impossible to achieve. It’s time to rethink your test strategy and start innovating.
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5 Ways to Pair Developers with Testers Some agile practices stress the importance of pairing team members together to achieve better team performance. Try these five suggestions for pairing key resources.
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Integration and Functional Testing Using Dockerized Dependencies
Slideshow
To emulate production-like conditions that cannot be tested on the unit level, many integration and functional tests need a realistic environment. However, performing these tests in a production-like environment is fraught with problems—test data management issues, tests that are difficult to execute repeatedly, and network traffic that causes long-running test execution times. Instead of having to deal with these problems and others, Irene Dhong employs Docker to simulate dependencies. Learn how you can take advantage of Dockerized dependencies for quick test writing, reusability of common development code, and the ability to test early and often on a very low functional level. Irene describes how her development team is using Docker to implement more effective TDD and unit testing environments because Docker utilizes similar infrastructure both on the development and DevOps side. Join in to get Dockerized, too.
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Irene Dhong
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Continuous Testing and Open Source Integration: An Interview with Alex Martins
Video
In this interview, Alex Martins, the CTO of continuous quality at CA Technologies, explains how continuous testing, continuous integration, and open source testing tools can help modern software teams keep up with the speed and demands of agile.
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Test Data Management: A Healthcare Industry Case Study
Slideshow
As IT systems increase in both scale and complexity, delivering quality applications becomes more challenging. In addition to creating and executing test scenarios, testers need to create and maintain the test data that enables test execution. Test data management (TDM) creates and...
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Jatinder Singh, Harvard Pilgrim Health Care, and Shaheer Mohammed, Harvard Pilgrim Health Care
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Applying Test-Driven Development to Agile Test-driven development (TDD) is fundamental to agile, but to most of us caught up in projects, there's never enough time to commit to it. Erick Fleming shows how to use TDD to improve product quality and time to delivery.
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