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A word from the Technical Editor

Pinocchio had Jiminy Cricket; your company has Software Quality Assurance. Both are intended not to enforce good practices, but to encourage them. Find out how SQA can effectively serve an organization.

No matter how well we plan and execute software development, defects are generated and can escape to the customers. Failure to quickly resolve software problems leads to negative consequences for our customers and increases internal business costs. A quick deterministic
method to prioritize problems and implement their solution helps to reduce cycle time and costs. Achieving this goal requires several steps. The first is to determine a model that links problem resolution performance to institutional variables and problem characteristics. Statistical Design of
Experiments (DOE) is a tool that provides data requirements for estimating the impacts of these variables on problem resolution. Once data has been gathered, the results of statistical analysis can be input into a mathematical optimization model to guide the organization.
This paper describes such an analysis.

Testing games is in many ways similar to testing many complex, multi-media applications. In this hands-on presentation, Hans Buwalda demonstrates practical ways to automatically test a game using an intelligent, model-driven robot.

Not every test automation project should be done and not all deserve the highest priority. You need a repeatable process that you can use to filter requests to automate tests.

Migrating a testing infrastructure from data-driven test automation to a model-driven test architecture, including the need to maintain backward compatibility was a huge challenge for Michael Corning and his groupx0151but a very rewarding one

GUI-centric automation scripting is a major cause of the high costs and failed test automation efforts.