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?

Most people don't fully understand the complexities and scope of a software performance test. Too often performance testing is assessed in the same manner as functional testing and, as a result, fails miserably. In this four-part series we will examine what it takes to properly plan, analyze, design, and implement a basic performance test. This is not a discussion of advanced performance techniques or analytical methods; these are the basic problems that must be addressed in software performance testing.

Fresh ideas can provoke us into discovering great insights: Six thinking hats did just that for Julian Harty, who then applied them to software testing with great success. He, and tens of others, has found the thinking hats easy to use, practical, and very productive. Read on to find out how you can apply them to your work.

David Dang, a senior practice manager for Questcon Technologies, explains why you need think about the tool you select. According to Dang, the assessment of the project and its goals should always come first in test automation projects, otherwise, you risk maintainability issues down the road.