You have limited resources for testing your next software release. Since you cannot test all the components thoroughly it makes sense to concentrate your efforts where you know there have been problems during development. That sounds reasonable and it is consistent with what software engineering gurus preach. But actually, it is a fallacy. This webinar with Dr. Norman Fenton will highlight a number of common fallacies in using software project metrics. These fallacies arise because traditional metrics approaches have ignored causal factors in the software development process. This webinar will show how causal models avoid these problems and can provide software managers with the quantitative information they need for risk assessment and decision-making.

Learning objectives: Fallacies of software metrics; What are causal models (Bayesian nets); Why causal models provide a more complete solution for software risk assessment; How causal models help with software defect prediction; How causal models provide risk management by modeling trade-offs between, resources, time, quality and functionality.

Please note that all webinar times are displayed in US Eastern Time.

This webinar is produced by CAI's IT Metrics and Productivity Institute. All Institute webinars are free of charge and are accredited with PDU codes by the PMI. For the Institute's full webinar schedule for 2008, please visit www.itmpi.org/webinars. For Institute events, please visit www.itmpi.org/events.

Email policy: Registrants will receive email updates from the IT Metrics and Productivity Institute containing information about future educational opportunities. Email addresses may also be shared with the webinar presenter.