Software Reliability  Prediction and Defect Prediction

• Invented method to predict software defects and defect density
• "Ensuring Software Reliability"
• "System and Software Assurance Guidebook"
• "Sematech's Tactical Software Reliability Guidebook".
• Author of the "Naked Truth About Software Engineering"

Predictive Modeling

• Invented models to predict defects and defect density in a software program before that program is ever developed.  This data mining/predictive modeling is ongoing.
• Determine trends and best practices from several dozen companies developing software.  

• Visual Basic .net and all previous versions of Visual Studio from 3-6.
• Deployed .net production level web software
• OLE, SQL, ADO.net, ASP.net, HTML
• C++, C
• XLST, XML
• DLL development
• PDA development

Software Engineering and Software Process Assessments

• Performed more then 90 software process assessments

Patents

• A method for predicting the time to Rastor Image Process. Patent #5,473,741.

Industry

• Electronic warfare
• Ballistic Missiles
• Medical devices
• Semiconductor fabrication, wafer processing, 300mm factory automation, test and packaging

• Defense
• Aerospace
• Space
• Printing and graphic arts
• Transportation

Knowledge extraction, data mining,

Web mining

• A United States patent - PStiMate, 1993 patent number #5,473,741 - Method for Determining the Time To Perform Raster Image Processing (RIP). This predictive model was developed by extracting patterns in postscript files so as to predict the time required for that Postscript file to Rastor Image Process.
• Project in progress to extract defect information and intelligence from code, defect databases, requirements, design and test plans.  One application will be the ability to predict whether the software is too old to continue to use or reuse.