Process

Conference Presentations

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.

Geoffrey Facer, Intel Corporation
Three Numbers to Measure Project Performance

We present a method which produces at any time during the execution of a big software
development project a reliable prediction of the total duration and of the total cost to expect
at project completion. The basic idea presented in our paper is to correlate cumulative cost consumed to current
completion reached, and to learn out of this about the future of the project. Prerequisites
are a cost consumption plan and a deliverables completion plan. The approach is
presented both theoretically and on hand of a real life case. Special attention is paid to
project management techniques related to the method.

Thomas Liedtke and Peter Paetzold, Alcatel
From Zero to 100: Project Metrics in an Investment Bank

Metrics collection, interpretation, and data quality always present a challenge to organizations. In the midst of an ever-increasing organization such as Goldman Sachs, the need for comprehensive metrics has become a top priority. Learn how one company successfully implemented a measurement initiative from ground zero using project management discipline, completion dates, scope definition, and a lifecycle approach-resulting in expanded coverage, more sophisticated usage of data, and support of the management and quality teams.

Barry Young and Arun Banerjee, Goldman Sachs and Co.
B2B and B2C Software Project Management—So What's Different?

Learn how to understand and address the unique and not so unique aspects of Internet-based business-to-consumer (B2C) and business-to-business (B2B) project development. Based on three case studies used to illustrate the important aspects of Internet project development, you will cover the full project lifecycle--from inception to launch--highlighting key principles and practices along the way. The case studies will include an information-centric Internet Web site (corporate brochure site), and electronic commerce site (consumer), and a business-to-business exchange.

Rick Smith, ObjectSpace, Inc.
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.

Mark Criscione, Motorola
Success Factors and Measures in Outsourced Application Development

Today's e-conomy is creating higher time pressures than ever in application development. Many organizations are responding to the deadline pressures and backlogs through partnering. Whenever new partnering relationships are created, however, conflict can result. Learn the four key critical success factors to help you manage this type of strategic relationship, including how to deal with "shotgun weddings" and creating better dispute resolution frameworks.

Michael Mah, QSM Associates, Inc.
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.

Kenneth Paczas, Compuware Corporation
Measures that Predict Change

Prediction becomes more accurate when there are measured trends to show the way. Knowing what to collect and review is only half of the process of predicting change. The rest of the methodology is understanding the data and being able to predict changes so that the project team can proactively respond to change events. Learn how organizations within EDS have begun to accurately predict changes. Explore the methods, decisions, and the necessary steps taken by EDS to develop and use metrics and measures that support key management decisions.

Gail Borotto, EDS
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.

Thomas Olenick, Olenick & Associates
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.

Michael Hovan, Wind River Doctor Design Services

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