In this case study of an award winning project, Andy Redwood describes how his team used "best shoring" of testing services to reduce costs, reuse assets, and get the best from their test automation tools. In an enterprise-wide transformation process at a large investment bank, his team used available infrastructure, technology, tools, and process to reduce business risk from software changes with a new automated regression test suite. With some facts and figures and a little hindsight, you will learn how to provide global, automated testing services on a twenty-four hours a day/seven days a week, on-demand basis. Find out what metrics you need to accurately measure the costs and benefits of a "follow the sun" test automation strategy.

• A successful outsource project that measurably improved business resilience
• The do's and don'ts of offshore testing

Good data feedback of software measurements is critical when analyzing measurement data, for drawing conclusions, and as the basis for taking action. Feedback to those involved in the activities being measured helps validate the data as well. In this presentation Ben Linders shows examples of how Ericsson Telecommunications delivers feedback at two levels: projects and the total development center. Although the basics are similar, the application differs, and the key success factors depend on the level and the audience. At the project level, you will see how the team reviews defect data, including defect classifications and test matrices. For development center feedback, you will see how line management and technical engineers review data and analyze information based on a balanced score card approach with measurable goals.

Software metrics are an integral part of the state-of-the-practice in software engineering. More and more customers are specifying quality metrics reporting as part of their contractual requirements. Companies are using metrics to better understand, track, control, and predict software projects and products. This paper explains the basic concepts of metrics and measurement theory and how those
concepts relate to software.

Mike Libassi discusses how to use the Weighted Stability Index (WSI) Metrics Model, an adaptation of a U.S. Army method, to measure system design changes and the impact to software releases. Both the original method and the WSI model will be presented, as well as customization, results interpretation, and implementation. Learn how to automate this model into current office technology, like Microsoft Excel and Access.