Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University
SEI Podcast Series
November 15, 2012

The SEI Strategic Plan

 Jeffrey Smith (Microsoft)

Bill Scherlis

"The idea is to be able to develop highly capable, rapidly evolving, innovative systems, but to do so in a way where the risk of completion of projects is within the bounds of acceptability for major systems developments."

"The idea is to be able to develop highly capable, rapidly evolving, innovative systems, but to do so in a way where the risk of completion of projects is within the bounds of acceptability for major systems developments."

Categories: Software Assurance

November 01, 2012

Quantifying Uncertainty in Early Lifecycle Cost Estimation

 Jeffrey Smith (Microsoft)

Jim McCurley

 Jeffrey Smith (Microsoft)

Robert Stoddard

"We needed a radically new method to address the type of information that is present that early in the lifecycle."

"We needed a radically new method to address the type of information that is present that early in the lifecycle."
October 18, 2012

Architecting a Financial System with TSP

 Jeffrey Smith (Microsoft)

Felix Bachmann

 Jeffrey Smith (Microsoft)

Jim McHale

"We did not have any evidence, any clear evidence, that they actually would work together. It was just driven by the necessity to help that customer."

"We did not have any evidence, any clear evidence, that they actually would work together. It was just driven by the necessity to help that customer."

Categories: Software Architecture, TSP

October 04, 2012

The Importance of Data Quality

 Jeffrey Smith (Microsoft)

David Zubrow

"It's always going to cost you more to fix it after the fact, and it's very hard to go back to the point of origin and correct data once it's entered the system. Now, our specific research last year was to investigate the use of some statistical techniques, primarily associated with outlier detection."

"It's always going to cost you more to fix it after the fact, and it's very hard to go back to the point of origin and correct data once it's entered the system. Now, our specific research last year was to investigate the use of some statistical techniques, primarily associated with outlier detection."
September 20, 2012

Misaligned Incentives

 Jeffrey Smith (Microsoft)

Bill Novak

"Misaligned incentives usually occur in the absence of well-designed rules that control the rewards or penalties for participants. The underlying idea is that unless the rules incentivize them to do otherwise, people and organizations both tend to act in their own self interest, which may not always be what was wanted."

"Misaligned incentives usually occur in the absence of well-designed rules that control the rewards or penalties for participants. The underlying idea is that unless the rules incentivize them to do otherwise, people and organizations both tend to act in their own self interest, which may not always be what was wanted."

Categories: Acquisition Support