Learn how Robotium works with standard Android instrumentation tests, including details on how it can be used in real life. Robotium is a test framework created to make it easy to write powerful and robust automatic black-box test cases for Android applications. Test case developers can write function, system and acceptance test scenarios, spanning multiple Android activities.
James A. Whittaker, the former Test Director for Chrome and Chrome OS, discusses in this article what it means to be a Google tester and how Google testers approach the problems of scale, complexity and mass usage.
Continuous delivery is a software development strategy that optimizes the delivery process to get software delivered as quickly as possible. This blog by Eli Weinstock-Herman explains how to integrate the load testing stage in a continuous delivery process. It presents a detail step-by-step process on how to incorporate the load testing scripts into the Jenkins open source continuous integration tool as a new build step in the delivery pipeline. This step will run the load test and capture the results.
Unit testing is a difficult but essential activity to improve software quality and team velocity. This video presents the best practices to perform unit testing in a .NET context and with an agile approach.
The open source JUnit unit testing tool has been a blessing for Java developers. However, many programmers think that it is enough to learn the JUnit API and write a few tests in order to have a well-tested application. This idea is more dangerous than not doing unit tests because it leads to a wrong sense of code quality. Learning JUnit is the easiest part of unit testing your Java code, but writing good tests is the hard part.
Codeception is a Behavior Driven Development (BDD) testing PHP framework. It aims to provide an original way to write acceptance, functional and unit tests. It uses a scenario approach where you declare what you are doing and what results you expect from your tests. The first post introduces the tool and explains how to write tests with Codeception. A second post digs deeper into the code and shows you how Codeception could be used for unit testing.
This article provides a process to integrate Test-Driven Development in the maintenance of a .NET application. You will first write the tests that will prove your new code gets the same results as the legacy code. Then you isolate new code into separate methods or classes that you can test independently. You break down the requirements into simple valid tests. Finally you check to see that you have not introduced a new bug. While you are doing this, let Visual Studio generate the utility code for you and find a tool to run your tests continuously like AutoTest.NET.
Copyright © 2009-2024 Software Testing Magazine by Martinig & Associates