Software Testing Articles, Blog Posts, Books, Podcasts and Quotes
Apache JMeter is an open source load and performance testing tool developed by the Apache Foundation that has become a major asset in software testing, being also used as a solution for many online commercial load testing services. The book “Master Apache JMeter From load testing to DevOps” provides an impressive amount of knowledge on how to successfully use JMeter, from your first steps with the tool to its integration in a DevOps approach.
Retail is one of the industries the most impacted with the digital transformation. A retailer reputation is at risk if the consumer has a bad experience either in a store or in front of an e-commerce website. Software quality assurance and software testing are important activities to prevent issues. This article discusses some main challenges of test automation in the retail industry.
Understanding the internals of web apps and their behavior inside the browser is important for the software testers. In this article Dmitriy Radchenko explains to us how the features of Chrome Developer Tools can be used for our web software testing and quality assurance activities, especially for performance analysis and understanding JavaScript execution inside the browser.
Your team has some test data. Let’s say you loaded in a backup form production a few months ago. Your QA specialists are familiar with the data, but your software developers hate it. They keep telling you, “It is not the right data,” or, “It is not very useful for testing.” You let them write and automate some tests, but it is not enough.
Most of the time, software testing is based on comparing the actual behavior of a code or a system with its expected behavior. In his article “The Challenges of Testing in a Non-Deterministic World”, Donald Firesmith explains however that not all software and systems are deterministic, for instance an autonomous adaptive vehicle that uses machine learning software, and that software testing needs to adapt to this context.
In his preface of the book “Common System and Software Testing Pitfalls”, Donald G. Firesmith writes “You can think of this book as a catalog and repository of testing antipatterns: the pitfalls to avoid, how to mitigate their negative consequences if you can’t avoid them, and how to escape from them once you’ve fallen in. Like a naturalist’s field guide to wild animals, let this be your guidebook to the dangerous world of testing mistakes and its denizens – the many creative ways people have discovered to botch testing.”
Good test data management is one of the best practices of successful software quality assurance, especially when you perform integration and functional testing for large systems. In this article, Christian Meléndez discusses important topics associated to test data management like how much data do you really need, how to deal with data privacy concerns, test data as self-service and test data generation.
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