Testing professionals who are learning about agile often want to know how they can provide traceability among automated tests, features, and bugs and report on their testing progress. Here, Lisa Crispin gives an example of how her previous team worked together to integrate testing with coding and helped everyone see testing progress at a glance.
In today’s age of tight deadlines and accelerating delivery cycles of software, test automation is surely favorable for the world of functional testing and critical to the success of big software development companies. But its various benefits have led to unrealistic expectations from managers and organizations. This article highlights the role and use of automation in an agile context and the irreplaceable importance of manual testing.
Every time we look at the data, we perform an analysis that helps us make decisions—hopefully the right ones. In this article, Gil Zilberfeld describes a few traps where bug data misled him to make bad decisions. These traps are in the data itself, not the tools, and can lead us in the wrong direction.
When you release a website or web application, it’s going to face a lot of very public load testing. If it performs poorly, there’s a good chance that you’re going to lose a lot of customers. Colin Mason offers some tips for load testing in order to ensure a better customer experience.
Vinay Krishna explains why agile development includes testing and coding concurrently, which is also what test-driven development emphasizes. The transformation from coder to developer to tester is needed in all agile software development projects.
Approaching performance testing with a rigid plan and narrow specialization often leads to testers' missing performance problems or to prolonged performance troubleshooting. By making the process more agile, the efficiency of performance testing increases significantly—and that extra effort usually pays off multi-fold, even before the end of performance testing.
If you think that test automation is mostly about executing tests, then you're missing out on a big opportunity. Or rather, you're missing a lot of small opportunities adding up to a big one. Consider this: stop thinking about test automation as merely executing automated tests, stop thinking about test automation as something you need expensive tools for, and start discovering automation you can implement in a couple of days and usually with extremely inexpensive tools or tools you already have available. In this week's column, Danny Faught and James Bach suggest taking a more Agile approach to test automation.
Test data has long been a challenge for testing; privacy legislation, identify theft, and the continued trend towards outsourcing has made it even worse. Just establishing and maintaining a comprehensive test environment can take half or more of all testing time and effort. In this column, Linda Hayes adds in the new and expanding privacy laws that inevitably limit your testing options. Yet from the quagmire of laws and company standards, better testing can emerge.