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SM/ASM 2002: The Business Case for Software Quality Each generation of technology-from mainframe to the Internet-creates many opportunities for businesses to try new things. But with uncharted territory comes exponentially increased risks. One way to reduce risk is to implement effective software quality processes. However, the investment required to improve development and testing infrastructures can be significant. Richard Bender addresses fourteen major areas of opportunity that underscore why this investment is critical if an organization is to succeed. He covers areas such as increasing project failure rate, the limited supply of software professionals, rising support costs, and the implications of eCommerce.
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Richard Bender, Bender & Associates
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Mentors, Models, and the Making of Managers: Special Panel Discussion Each of us has a story about how we came to be managers in software organizations. Many of us became managers because we were good developers. Some of us studied management in school. A few of us were groomed and mentored by the companies we work for, and some were tapped for management because we were the only warm body available. But now that we're here, what does it take to become an effective manager? Is being mentored and developed as a manager considered a luxury? Join this interactive panel and discuss the real-life issues and challenges of developing ourselves-and others-as software managers.
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Moderator: Esther Derby ( Esther Derby Associates, Inc.)
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A Practical Framework for Software Measurement Measurement is often defined in terms of collecting data, distinguishing it from analysis-the interpretation and use of data. Clearly, the collection of data must be driven by its intended use. In this presentation, David Card presents a framework that treats measurement and analysis as an integrated process. Discover the four basic components of this framework, and learn how to use the framework to ensure that all-important perspectives and potential users of measurement are considered in the measurement planning process.
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David Card, Software Productivity Consortium
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Predictive Metrics to Estimate Post Project Costs How much will it cost to support your software project based on current estimations? Discover the answer to this question by using statistical estimation methods-including the S-curve and the Rayleigh curve-to help you determine where your projects are in relation to required quality and trendings to meet your post-project cost goals. Learn how to use metrics to predict post-project costs and make better release decisions based on these predictions.
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Geoffrey Facer, Intel Corporation
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Experiences with Global Software Architecture Design and Development In this paper, we describe our experience designing and developing a system-for acquiring and processing data from electric, gas, and water meters-among four development sites located in Switzerland, Germany, and the U.S. Some of the techniques we used for project planning and management are described. We observed that a number of multicultural variables affect the overall performance of the development team. Based on our experience, a set of recommendations is given for managing global software development teams. Although we collectively felt that a single-site project team is likely to be more efficient than a multi-site team, the diversity of ideas and skills offered by a multi-site team resulted in a product line architecture that is flexible, modifiable, and adaptable to different market requirements.
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Daniel Paulish, Siemens Corporate Research
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