http://www.galorath.com/index.php/site/index/ en ian@unleadedsoftware.com Copyright 2008 2008-01-02T23:54:00-07:00 http://www.galorath.com/index.php/site/software-sizing-estimation-and-risk-management/ http://www.galorath.com/index.php/site/software-sizing-estimation-and-risk-management/#When:23:54:00Z Software Sizing, Estimation, and Risk Management is a practical, hands-on discussion of the software estimation, planning and control process. It addresses critical factors that affect estimates, methods for selecting and applying appropriate measures to projects, proper software sizing, processes to identify and manage risk, and best practices to avoid problems and develop successful project plans. Authors Galorath and Evans draw on their expertise in sizing, estimation, process engineering and risk management to illuminate issues that make many estimates crumble. The book offers insights not readily available elsewhere, enabling readers to recognize and avoid software project failures caused by poor estimates. About Software Sizing, Estimation, and Risk Management: “Shows how to use your estimation and project tracking data to improve your estimation accuracy and identify best investments for improving your software productivity and cycle time. Investing in acquiring this book and following its advice is highly likely to provide you with a robust return on your investment.” Dr. Barry Boehm Director of the Center for Software Engineering University of Southern California (USC) Order from Amazon.com Order from Auerbach Publications and receive a 15% discount.  (Use promo code 682CC when you place your order.) 2008-01-02T23:54:00-07:00 http://www.galorath.com/index.php/site/what-is-parametric-modeling/ http://www.galorath.com/index.php/site/what-is-parametric-modeling/#When:23:30:00Z Unlike most project management tools which focus on automating features or workflow, parametric, predictive modeling tools help organizations model and optimize project feasibility and ensure that projects meet established delivery guidelines. Parametric modeling takes its name from the project parameters or variables that are modified during the project simulation process. Parametric models are built from a set of mathematical equations. These may be standard equations found in reference books, proprietary equations developed by consultants or vendors, or some combination of the two. In order for parametric models to have any validity they must be based on or proven using actual project data. It is the sophistication of the data analysis methods and the extensiveness of the underlying project data which determines the effectiveness of a modeling solution. Parametric methods are very useful for subjecting uncertain situations to the rigors of a pre-defined and proven mathematical model. They can usefully embody a great deal of prior experience and are less biased than human thought processes alone. Commercial parametric modeling solutions typically offer extensive graphical feedback, thus making them easier to use. Commercial models also offer other benefits, including support for risk-based inputs, sizing "wizards" and numerous assessment mechanisms to improve the accuracy of estimates. Want to know more about parametrics? Software Sizing, Estimation, and Risk Management, a 541-page hardcopy reference book by Daniel Galorath and Michael Evans is available at Amazon.com. 2008-01-02T23:30:00-07:00