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

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Erin Harper
May 2014 - Technical Report Data-Driven Software Assurance: A Research Study

Topics: Software Assurance, Performance and Dependability, Process Improvement, Measurement and Analysis

Authors: Michael D. Konrad, Art Manion, Andrew P. Moore, Julia L. Mullaney, William Nichols, Michael F. Orlando, Erin Harper

In 2012, Software Engineering Institute (SEI) researchers began investigating vulnerabilities reported to the SEI's CERT Division. A research project was launched to investigate design-related vulnerabilities and quantify their effects.

March 2011 - Special Report Issues and Opportunities for Improving the Quality and Use of Data in the Department of Defense

Topics: Measurement and Analysis, Process Improvement

Authors: Mark Kasunic, David Zubrow, Erin Harper

This report contains the recommendations of an SEI-lead, joint-sponsored workshop by the OSD (AT&L) and DDR&, around the topics of data quality, data analysis, and data use.

November 2008 - Technical Note CMMI High Maturity Measurement and Analysis Workshop Report: March 2008

Topics: CMMI, Measurement and Analysis, Process Improvement

Authors: Robert W. Stoddard, Dennis Goldenson, David Zubrow, Erin Harper

This report outlines a 2008 workshop, in which leaders discussed high maturity practices and how to sustain momentum for improvement.

December 2005 - Technical Note Relationships Between CMMI and Six Sigma

Topics: Process Improvement, CMMI

Authors: Jeannine Siviy, M. L. Penn, Erin Harper

This 2005 report focuses on the joint use of two popular improvement initiatives: Capability Maturity Model Integration (CMMI) and Six Sigma.

July 2004 - Technical Report A Process for COTS Software Product Evaluation

Topics: System of Systems

Authors: Santiago Comella-Dorda, John Dean, Grace Lewis, Edwin J. Morris, Tricia Oberndorf, Erin Harper

This 2004 report focuses on COTS product evaluations conducted for the purpose of selecting products to meet a known need in a system.