Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Javascript is currently disabled for your browser. For an optimal search experience, please enable javascript.

Advanced Search

Basic Search

Content Type


Publication Date

Bill Pollak
August 2013 - Podcast Mobile Applications for Emergency Managers

Topics: Pervasive Mobile Computing

Authors: Adam Miller (Huntingdon County, Pennsylvania, Emergency Management Agency), Bill Pollak

Learn about the SEI's Advanced Mobile Systems Team's work with the Huntingdon County, Pennsylvania, Emergency Management Agency.

May 2008 - Podcast Building More Secure Software

Topics: Secure Coding

Authors: Bill Pollak, Julia H. Allen

In this podcast, Julia Allen explains how software security is about building more defect-free software to reduce vulnerabilities targeted by attackers.

July 2007 - Podcast Real-World Security for Business Leaders

Authors: Pamela Fusco (FishNet Security), Bill Pollak

In this podcast, William Wilson advises business leaders to use international standards to create a business- and risk-based information security program.

October 2006 - Podcast Why Leaders Should Care About Security

Authors: Bill Pollak, Julia H. Allen

In this podcast, Julia Allen urges leaders to be security conscious and treat adequate security as a non-negotiable requirement of being in business.

October 2003 - White Paper Developing a Communication Strategy for a Research Institute

Authors: Anne Humphreys, Bill Pollak

This 2004 whitepaper presents a communication strategy that defines products and internal processes for optimizing communication with the Software Engineering Institute’s (SEI) most important stakeholders.

August 1993 - Book A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems

Topics: System of Systems

Authors: Michael Harbour, Mark H. Klein, Ray Obenza, Bill Pollak, Tom Ralya

This book contains a collection of quantitative methods that enable real-time systems developers to understand, analyze, and predict the timing behavior of many real-time systems.