|INDUSTRY PROFESSOR & SOFTWARE ENGINEERING PROGRAM DIRECTOR|
|School: School of Systems & Enterprises|
|Department: School of Systems and Enterprises|
|Program: Software Engineering / Financial Engineering|
• Master of Science in Electrical Engineering (1975), Carnegie-Mellon University
• Bachelor of Science in Computer Science (1974), University of Michigan
Managerial Training Programs:
• Executive Program in Business Management, University of Michigan Ross Business School
• AT&T Mini-MBA
• Estimation Methodologies
• System Safety and Reliability
Linda Laird came to Stevens from Lucent where she was the Managing Director of Lucent Worldwide Services. She had a 27-year career of software management and development, product management, and as CIO. She is currently the Director of the Software Engineering Program at the School of Systems and Enterprises, where she develops and teaches courses in Software Engineering. Professor Laird received her BS Computer Science and MS Electrical Engineering from Carnegie Mellon University, and has been the recipient of the Lucent CIO President's Award, Lucent Quality Achievement Award, Network Systems Quality Award. She is the author of Software Measurement and Estimation: A Practical Approach, published in 2006 by Wiley. Her research interests include estimation methodologies, complexity, and system safety and reliability.
• STEVENS INSTITUTE of TECHNOLOGY, 2002 – Present, Director of Software Engineering
• LUCENT TECHNOLOGIES/AT&T/ BELL LABORATORIES, 1974-2001, Led a variety of large software projects, primarily focused on the maintenance and provisioning of local telephone service.
Honors & Awards
- Phi Beta Kappa
- Lucent CIO Presidents Award
- Lucent Quality Achievement Award
- Lucent Achievers Club (Sales)
- Network Systems Quality Award
• Member of the IEEE
- Laird, L. (2006). "The Limits of Estimation", IT Professional.
- Laird, L. (2006). Software Measurement and Estimation: A Practical Approach, Wiley.
SSW 533 Cost Estimation and Metrics
SSW 567 Software Testing, Quality Assurance, and Maintenance
SSW 689 Software Reliability Engineering