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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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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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Metrics: Giving the Answer to the Right Question What metrics are you going to give me? This is the type of question managers ask their QA analysts at the start of each project. In this presentation, learn how to interpret data to create a metric that can answer a specific question asked by management. Explore how quality assurance and testing-from goal setting to implementing tactics-can assist in creating reliable metrics. Kenneth Paczas looks at many of the questions that have been asked by management--and the metrics that were used to answer them.
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Kenneth Paczas, Compuware Corporation
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A Metrics Dashboard for IT Project Reporting Tom Olenick described the activities performed to design, develop, deploy, and maintain a Project Management Metrics Dashboard across the IT organization of a major Chicago-based securities organization. Learn how this metrics dashboard was used to facilitate project status tracking for IT management and to provide a basis for improving the efficiencies of software development activities and estimation.
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Thomas Olenick, Olenick & Associates
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To Fight the Fire Without Completely Being Burned: A New Perspective on Heroes and Firefighters Michael Hovan discusses the implementation of Bayer Corporation's measurement database over the past year. Discover the types of metrics collected, how the data is stored, and ways the data is analyzed and ultimately used. Based on actual data and measurement reports, learn from one company's experience in building, collecting, and using metrics to improve software performance.
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Michael Hovan, Wind River Doctor Design Services
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eXtreme Programming Meets Measurement With the Internet explosion creating new "e-somethings" daily, and society embracing X-anything, it should come as no surprise that eXtreme Programming is the latest concept to hit IT. Forget the visions of IT managers projecting themselves off a cliff with bungee cords and a laptop-eXtreme Programming is more mainstream than renegade, offering a mixture of old and new, tried and true all bundled into one. Learn what eXtreme Programming is all about and how it differs from other development methodologies. Discover what can and should be measured in an eXtreme Programming environment and how to fit X-Measures in with a regular measurement program.
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Carol Dekkers, Quality Plus Technologies, Inc.
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Software Metrics "State of the Practice" In this session, Peter Kulik presents the results of KLCI's third industry survey on software metrics usage conducted in the fourth quarter of 2000. Based on feedback from practitioners, you will explore topics such as metrics usage and best practices, tips to enhance metrics programs, strategies to implement and improve a metrics program, and tools favored to support metrics capture and analysis.
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Peter Kulik, KLCI, Inc.
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