|
Software Measurement Programs: What Does It Take to Succeed? A great deal is known about technical issues of data gathering and applied statistics as it relates to software measurement and analysis. However, less is known about what it takes to implement a successful software measurement program. In this presentation, Dennis Goldenson shares the results of a broad-based survey of practitioners and users of software measurement programs, providing better insight into what it takes to establish an effective software measurement program in your organization.
|
Dennis Goldenson, The Software Engineering Institute
|
|
Measuring the Complexity and Impact of Design Changes Mike Libassi discusses how to use the Weighted Stability Index (WSI) Metrics Model, an adaptation of a U.S. Army method, to measure system design changes and the impact to software releases. Both the original method and the WSI model will be presented, as well as customization, results interpretation, and implementation. Learn how to automate this model into current office technology, like Microsoft Excel and Access.
|
Mike Libassi, Intel Corporation
|
|
The Devil's in the Details: IT Benchmarking--Aligning Outsourcing Expectations and Managing Risks Gathering IT intelligence data is critical to deciding what and when to outsource, and how to structure service levels to create a winning deal for both sides. Based on IT benchmark trends observed from a modern database of 5,000+ completed projects gathered worldwide, learn how to identify proposals that satisfactorily address application development and maintenance productivity from a multi-dimensional perspective. Discover the weaknesses and strengths of various practices, and explore productivity case studies that demonstrate successful IT benchmarking frameworks.
|
Michael Mah, QSM Associates, Inc.
|
|
Software Estimating with Functional Metrics One of the greatest challenges faced by software professionals is the accurate estimation of effort, schedule, and cost for software projects. Learn the technique that has proven to be the most successful in establishing accurate estimates based on quantifying customer requirements and evaluating the development environment using software measurement techniques. Discover ways to use this process to improve estimating accuracy in your software projects.
|
Scott Goldfarb, Q/P Management Group, Inc.
|
|
Practical Software Measurement, Performance Based Earned Value Earned Value can be a software project manager's most effective tool for integrating cost, technical, and schedule management. Learn how to implement Performance Based Earned Value in a practical and cost-effective manner, including specific recommendations and performance metrics for better project planning, meaningful analysis, and improved management control. Real-life examples illustrate both best practices and lessons learned.
|
Paul Solomon, Northrop Grumman Corporation
|
|
Performance Evaluation and Measurement of Enterprise Applications Today's large-scale enterprise applications are all Web-enabled and complex in nature. Many users experience performance problems from day one. Performance evaluation and measurement via extensive testing is the only practical way to raise and address all issues prior to a successful deployment. Learn how to tackle performance and capacity issues with the appropriate testing strategy and scalable infrastructure/architecture.
|
Rakesh Radhakrishnan, Sun Microsystems
|
|
Software Cost Management with COCOMO II COCOMO II updates the 1981 Constructive Cost Model (COCOMO) to address the new ways that software is being developed and managed, including non-sequential process models, applications composition, product line management, distributed development and applications, and rapid application development. Barry Boehm summarizes these trends and shows how COCOMO II and its emerging extensions are addressing them. Learn how COCOMO II can be used for a variety of management decision situations, such as linking tactical project management to strategic productivity and cycle time improvement management via a quantitative metrics-based approach.
|
Barry Boehm, University of Southern California
|
|
Implementing Metrics in a Level 1 Organization This presentation focuses on the work necessary to implement metrics in an organization recently assessed at level 1. Gain an understanding of why a metrics program must coordinate with ongoing software process improvement activities to be successful. Learn the "soft" skills needed to effectively implement a metrics program in your organization.
|
Michael Hovan, Bayer Corporation
|
|
Measurement Maturity at CMM Level 3 The SEI's Capability Maturity Model for Software (SW-CMM) considers measurement a key element in the effective management of software development. Two lead assessors provide insight into the measurement requirements embedded throughout the model's key practices at Levels 2 and 3. Examples of mature Level 3 measurement systems and recommendations based on lessons learned will be provided.
|
Beth Layman and Kevin Schaan, TeraQuest Metrics Inc.
|
|
Our Experience Using Orthogonal Defect Classification Orthogonal Defect Classification (ODC) is a method of classifying and analyzing software defects. Using real-life experience, Barbara Hirsh discusses how Motorola successfully implemented ODC within their organization resulting in a framework for building a pervasive and cohesive defect prevention program. Learn the benefits of using ODC from the perspective of the developer, the tester, and the post-release analyst.
|
Barbara Hirsh, Motorola
|