Lessons learned long ago from reviews and inspection can be effective today, particularly in collaboration within agile teams. Learn how an organization used review techniques as part of its agile collaboration, including the advantages and potential problems of this ancient wisdom.
Test planning is often thought unnecessary in an agile project. However, if our mindset is on "planning" rather than "plans," we see that test-planning activities happen throughout the project, taking advantage of levels of precision, i.e., what is absolutely necessary at each level.
Software test automation has been around for a while, but it faces some specific challenges in an agile environment. Here are seven practices that will help you get the most out of your test automation within agile's short development cycles.
Vague or ambiguous requirements can cause loops in development processes. Creating requirements that include acceptance tests cuts down on the looping and increases the flow of working software to the customer.
Are software development and testing sciences subject to the same kind of numerical measurement that we use in physics? If not, what kinds of measurements should we use? How could we think more usefully about measurement?
Automating test execution is supposed to give tremendous benefits, but often gives disappointing results—because it hasn’t met the objectives set for it. The fault may not lie with the automation itself, but with the objectives you are attempting to achieve. Aiming at the wrong target does not bring success! For example, objectives for automation are often confused with objectives for testing, but they should be different. In this article, learn how to avoid the most insidious traps and how to recognize good objectives for automation.
After learning the basics of testing frameworks, writing tests for your existing codebase can be a daunting challenge. Where should you start testing, and what kind of tests will be the most effective? Learn how to kick-start your testing and some solutions to problems teams frequently encounter.
Virtual Lab Automation (VLA) is a ground-breaking technology that promises quantifiable benefits for application development and test organizations, including faster lab deployment, less manual setup work, greater resource flexibility and utilization, and easier reproduction of defects. In this article, Skytap's Ian Knox discusses the best practices and common pitfalls associated with adopting a VLA solution. In addition, he outlines the steps to evaluate a virtualization solution for your test organization and provides further resources to help you get started.
Reloadable test data takes more time up front (as compared to on-the-fly data creation), but saves blood, sweat, and tears in the long term. It also virtually eliminates "works on my machine" bugs, creates a more intricate and realistic environment, and is the first step on the road to test automation.