According to popular testing folklore, long tests are more likely to find bugs than short ones. Based on a series of experiments using formal traversal tools, Shmuel Ur demonstrates that long tests do indeed achieve better coverage and are lower in costs than test suites built of short tests. Explore the trade-offs between short and long tests while learning the effective strategies of converting test requirements to test plans.

The saying "Data is a corporate asset" has become a cliche, but most organizations are still vitally dependent on data quality. This presentation addresses how to validate data integrity and check the robustness and controls of databases. Using case studies in database testing, learn how to develop test plans and build test cases for a typical database application.

Increasing complexity and functionality of digital systems--coupled with time-to-market constraints--pose quality challenges. Strategies often include a mix of new development with the integration of pre-existing components from multiple sources. Ann Miller presents some of the software engineering and software management lessons learned from eight years on a large commercial satellite program, as well as several years on military satellite programs. This presentation focuses on the planned evolution of large-scale systems from the design and build of smaller components based on an end-to-end system backbone.

Today's large-scale enterprise applications are all Web-enabled and complex in nature. Many users experience performance problems from day one. Performance evaluation and measurement via extensive testing is the only practical way to raise and address all issues prior to a successful deployment. Learn how to tackle performance and capacity issues with the appropriate testing strategy and scalable infrastructure/architecture.