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Successful Test Management: 9 Lessons Learned Many engineering managers came to management through the technical ranks. Although they may have had plenty of engineering training and mentoring, they frequently have to learn management skills the hard way: through trial and error. In this double-track presentation, Johanna Rothman describes some engineering management tips and tricks learned through trial and error. Gain insight into how people respond to different management styles and missions. Learn what to observe in your staff's work--and your own.
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Johanna Rothman, Rothman Consulting Group, Inc.
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Automated Testing of a Financial Application Based on a case study, Bill Pearce presents a data-driven approach to developing automated tests for a transaction-based application. Explore the significant advantages to this approach, including reduced start-up costs of automating tests. Learn how this model will shield business-oriented testers from tool technicalities while allowing testers to create and run their own automated test scenarios and view their own test results.
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Bill Pearce, Corbel
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Model-Based Testing for Data Centric Products How do you test data centric products such as search engines or content-rich sites? The typical approach is to throw people at it--but what if you throw machines at it instead? The trick to getting machines to test this correctly is to cheat by using model-based testing. Once the problem is explained to the machine, the machine can then generate the tests, documents, and results--and test around-the-clock! Learn why machines should test and people should think.
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Margaret Worel, Microsoft
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Enterprise Testing Under a Microscope Executing end-to-end (ETE) type testing where the systems are all developed within a single organization is a difficult task. Executing this type of test with over forty systems and several internal and external vendors would seem impossible. Learn how AT&T successfully implemented such a test process under extreme conditions. Discover the benefits--and pitfalls--of testing large-scale programs.
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Diane Wilkerson, AT&T
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Analyzing Web Application Errors This presentation focuses on the characteristics of Web application errors to derive key issues to consider in analyzing and reproducing errors. Learn how to isolate application errors from configuration and technical support issues. Explore effective techniques to make errors reproducible. Examples of common and uncommon Web application error types are provided.
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Hung Nguyen, LogiGear Corporation
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Automation--The Good, Bad, and Ugly This presentation gives you a logical process for selecting and implementing a software test automation tool. Gain a better understanding of the benefits and limitations of test tools while learning about the misconceptions and how to avoid the pitfalls. Using real-life experiences with a London bank, a cable TV company, and a bookmaking operation, Clive Bates clarifies the myths about tool usage and implementation. Learn how to select the best test automation tool for your organization.
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Clive Bates, OCS Consulting
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Overcoming Communication Hurdles for Large Testing Learn of the challenges one company faced in testing a new distribution center involving six new systems with multiple integration points. Consisting of over one hundred systems and business personnel, the various test teams were located in eight different physical locations throughout the United States. Discover the communication issues and problems encountered by the test teams during this project, and examine the tools and techniques involved to keep everyone informed.
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Marcia Miller, Levi Strauss & Co.
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Modeling the Real World for Load Testing Requesting your Web site's home page one hundred times per minute is not going to give you a very accurate idea of how your Web site is actually going to perform in the real world. Explore the variables that you need to consider when designing a Web load or stress test, including user activities, graphics, security, user access speeds, and geographic locations.
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Steve Splaine, Splaine & Associates
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Test Automation of Large System Testing The New York Stock Exchange (NYSE) traded over $10 trillion last year. Three years ago, NYSE established an initiative to improve the productivity and quality of software validation efforts. Learn the key architecture and infrastructure elements of that initiative.
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Al Lowenstein, SIAC
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Does Test Length Matter? 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.
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Shmuel Ur, IBM Research
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