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Removing Requirement Defects and Automating Test Organizations face many problems that impede rapid development of software systems critical to their operations and growth. This paper discusses model-based
development and test automation methods that reduce the time and resources necessary to develop high quality systems. The focus is how organizations have implemented this approach of model-based verification to reduce requirements defects, manual test development effort, and development rework to achieve significant cost and schedule savings.
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Mark Blackburn, Software Productivity Consortium
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Orthogonal Defect Classification at Cisco This presentation outlines the history of the Orthogonal Defect Classification system deployment at Cisco.
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Bob Mullen, Cisco Systems
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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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Predicting Software Errors and Defects This paper introduces a fault model that predicts the number of errors and defects throughout the development cycle. Project managers can use this information to quantitatively determine if the development process is in control, may be going out of control, or is clearly out of control. This model is able to adjust estimates based on the most current data available.
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Mark Criscione, Motorola
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Warp 6, Mr. Sulu: The Future of Software Development As a manager, you have many readings which help you monitor your course. Choosing a direction is a different matter. Like the crew of any Star Trek episode, you may have to make a decision based on the unknown. The best choice may not be based on what you know-but what is possible. For years we have built software in roughly the same way. Becky Winant discusses an emerging new discipline sitting on the horizon-complete with higher-level communication tools, practical knowledge capture, and advanced simulation software-that is poised and ready to change the face of software development as we know it.
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Becky Winant, Esprit Systems Consulting, Inc.
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