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Concurrent Sessions for Wednesday, February 14, 2001
 
Software Management Software Measurement
10:15 AM  Go to 11:15 AM     Go to 1:30 PM 10:15 AM  Go to 11:15 AM     Go to 2:30 PM
W1 Management Foundations
Warp 6, Mr. Sulu: The Future of Software Development

Becky Winant, Espirit Systems Consulting, Inc
.

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.

• How to compress time with parallel analysis and design
• How to achieve knowledge capture with tangible, reusable analysis and design assets
• The new challenges we face

W4 Measurement Programs
From Zero to 100: Project Metrics in an Investment Bank

Barry Young and Arun Banerjee, Goldman Sachs and Co.

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.

• How to develop a metrics program
• Ways to create buy-in and organizational excitement
• Creative use of prototyping of data/reporting

 

W2 Managing Web Projects
B2B & B2C Project Development & Management—So What's Different?
Rick Smith, ObjectSpace, Inc.

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), an electronic commerce site (consumer), and a business-to-business exchange.

• How to establish project focus/vision for B2B and B2C projects
• Key aspects of project management for B2B and B2C projects
• Key principles and practices for the development and management of three different types of Web sites

W5 Measuring Performance
Three Numbers to Measure Project Performance
Thomas Liedtke, Alcatel

In this presentation, Thomas Liedtke will provide input on performance measurement—including definitions and theory—and the three numbers that must be measured as input for further analysis. You will also gain insight into the "net earned value" method for a large telecommunication project. Discover ways to get your schedule, costs, and budget under control by applying this method, and learn the types of arguments and statements you can give based on its application.

• Performance measurement—a definition and goals
• How to interpret measured figures
• How to keep the schedule, cost, and budget under control by applying the net earned value method

W3 Improvement Approaches
Better Testing—Worse Quality?
Elisabeth Hendrickson, Aveo Inc.

Many organizations react to quality issues encountered after shipping a product by renewing their emphasis on testing. The logic is that better testing would have resulted in better software. Ironically, focusing on testing can cause worse quality. In this discussion, Elisabeth Hendrickson provides real-world examples of when better testing has resulted in worse quality and how to turn around the downward spiral.

• How to detect when better testing is leading to worse quality
• Intervention techniques to turn around the downward spiral in quality
• How to stop playing the "blame game" when software doesn’t meet quality standards

W6 Predictive Metrics
Predictive Metrics to Estimate Post Project Costs
Geoffrey Facer, Intel Corporation

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.

• Post-project cost determinants
• How to use predictions to influence release decisions
• Demonstrations of prediction methods—S-curve and the Rayleigh curve

11:15 AM  Go to 10:15 AM     Go to 1:30 PM 11:15 AM  Go to 10:15 AM     Go to 2:30 PM
W7 Management Foundations
Organization: The Forgotten Dimension
Mark Servello, ChangeBridge, Inc.

Explore the software project manager’s actual, perceived, and desired position in an organization. Learn how the differences in these three views—coupled with the understanding of roles, responsibility, authority, and accountability—may be more important to a manager’s success than the method used to manage the project. Discover techniques that leverage "difficult" organizational structures and cultures to enable the free flow of information that is critical to process improvement and project performance.

• How to identify an organization’s cultural traits
• How to determine how roles and responsibilities are assigned
• How to determine the penalty and rewards associated with accountability

W10 Measurement Programs
Of Heroes and Firefighters: The Saga Continues
Michael Hovan, Bayer Corporation

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.

• Anticipated results of a measurement program
• How the data is collected and used
• Lessons learned

 
W8 Managing Web Projects
Launching a Web Development Team
Thomas Vlasic, John Deere Co.

Based on a real-life case study, learn how one Fortune 500 manufacturing company—with four development groups located in two locations—created a flexible and cost-efficient Web development solution to meet the needs of an expanding business. Explore the development problems—and solutions—encountered on a project of this scope, including issues with geographically dispersed development.

• How to create a successful Web development team
• Development problems encountered—and the solutions
• Hiring issues—what did and did not work

W11 Measuring Performance
A Metrics Dashboard for IT Project Reporting
Tom Olenick, Olenick & Associates

Tom Olenick describes 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.

• Benefits of using a Dashboard for IT project reporting
• How to set up a low-cost Metrics Dashboard using MS Office and HTML generator
• How to acquaint senior IT management with metrics-based project tracking

W9 Improvement Approaches
A Force for Change—Using Resistance Positively
Dale Emery, Sun Microsystems

When we try to improve our organizations, we inevitably encounter resistance. This presentation describes how to turn resistance into a resource. Whatever else it may be, resistance is information about the people we are asking to change; about the environment in which the change will happen; about the changes we recommend; and ultimately, about ourselves. Learn ways to tap into that information to turn resistance into a resource for creating lasting improvement.

• How expectations and communication affect resistance—and what to do about it
• How to understand the information embedded in resistance
• How to act on this information to creative positive change

W12 Predictive Metrics
Measures that Predict Change
Gail Borotto, EDS

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.

• Steps for starting up a metrics and measures program
• How to predict outcome from existing data
• A case study

1:30 PM  Go to 10:15 AM     Go to 11:15 AM 2:30 PM  Go to 10:15 AM     Go to 11:15 AM
W13 Management Foundations
The Software Organization as a Complex Adaptive System
Nir Merry, Applied Materials

We are living and working in the "knowledge era" where business, technological, and organizational changes cannot be predicted or foreseen. One minute you are on top; the next minute, you are obsolete. For a software organization to sustain itself over time, it must act as a Complex Adaptive System (CAS) and operate on the Edge of Chaos (EOC) as a learning organization that is continuously learning and co-evolving. Gain insight into how to become a sustainable software organization in a rapidly changing environment.

• How to act as a Complex Adaptive System (CAS)
• How to operate at the Edge of Chaos (EOC)
• How to become a "learning" organization

W16 Measurement Programs
Metrics: Giving the Answer to the Right Question
Kenneth Paczas, Compuware Corporation

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.

• Important questions asked by management—and the metrics used to answer them
• How to represent the metric with a graph
• How to explain the results in a non-technical way

W14 Managing Web Projects
The World Wild Web: A New Paradigm of Responsiveness & Reliability
Jenny Jones, Segue Software

While the Internet was once a simple tool for educational institutions to share information, it is now a unique venue for marketing, selling, and gathering information. Design and deployment plans must now be simultaneously flexible yet reliable. Lack of functionality will not be tolerated in this new environment. Learn of the new challenges faced by software management in the ever-changing and developing Internet culture. Discover why testing has become one of the most critical aspects of software management.

• New challenges faced in the software industry due to the Web
• Why the risks are higher—and more difficult to predict—for eBusinesses than ever before
• Why testing Web sites is one of the most critical aspects of software management

W17 Measuring Performance
Success Factors & Measures in Outsourced Application Development
Michael Mah, QSM Associates, Inc.

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.

• 4 key success factors in relationship management
• How to build a credible metrics framework to manage the relationship
• How to handle the transaction view of partnering

 
W15 Improvement Approaches
Process Improvement in Large Organizations: Walking the Maze
Nynke Fokma, Moebius Consultancy
and Erwin van der Bij, Lucent Technologies

Every problem-solving activity in an organization requires some learning. Both the stakeholders and the facilitators of the organization need to learn as they go through change. Discover how one organization facilitated process improvement and problem solving by focusing on congruence, building trust relationships, and lots of "letting go." Gain insight from stories on facilitator problems and transformations from personal experiences, and participate in a discussion on differences between internal and external facilitation for facilitator and stakeholder incentives.

• How to build on what already exists in an organization to implement effective change
• How to see which solutions are not complete (yet)
• Why "doing nothing" may be a useful solution to a problem—but extremely hard to implement

W18 Predictive Metrics
Predicting Software Errors and Defects
Mark Criscione, Motorola

Phase Containment Effectiveness (PCE) measures the ability of software development phases to detect faults. A weakness of this measure is that it determines how effective the phase was. Mark Criscione presents a fault prediction model that uses the PCE and related process measures to predict the quality of the software development process throughout the lifecycle phases. Learn how to use this model to statistically predict the number of faults, errors, and defects.

• Measures that characterize the quality of the software
• Data required to predict software quality
• A model for predicting errors and defects for each phase of development

 

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