It seems well-accepted that it is cheaper to find defects earlier in the software development lifecycle than during dynamic testing or in live operation.
Results Based Testing (RBT) is a new software testing pricing model that sets forth the expected value to be delivered by the Testing Teams.
To test a system's capability to handle faults, recovery testing is performed. This testing approach forces the software to fail and verifies that recovery is properly performed.
Because of the intensive nature of the system map they provide, performing a system breakdown leads to a deeper understanding of the system in production, making both development and testing easier on everyone involved.
Even many experienced professionals can have trouble determining exactly how long the testing process is going to take from end to end. The estimation process is a complex one which contributes to the length, cost, and quality of a finished project – so how is it determined?
That is why it is so important to have a defect management process in place: that way, when defects are inevitably detected, the testers know exactly how to identify and manage them, streamlining the testing process and increasing its efficiency.
Be Proactive, Begin with the End in Mind , Put First Things First, Think Win/Win, Seek First to Understand, Then to be Understood, Synergize, Sharpen the Saw
This white paper runs through the evolution of software development and compares agile techniques to Orange project management methodologies, as well as discussing whether the SMaRT methodology is relevant in an agile environment.
Exploratory testing is simultaneous learning, test design, and test execution. This definition of exploratory testing was the prevailing definition for many years.
This article discusses the topic of evaluating the return on investment (ROI) of using Scrum and suggests some hints about mistakes to avoid and on how to get meaningful results from this activity.
Along with this demand came the need for automating tests upon these applications. However, this need raises a few questions and problems, some of which will be discussed in the following article.
This paper describes the problems of using image comparisons in automatic tests and reviews two image processing algorithms, which can be integrated into the existing automatic test tools.