Improving IV&V Techniques Through the Analysis of Project Anomalies: Bayes networks - preliminary report

The original plan of this work was the creation of a process by which conclusions learned from one IVV i.e. detect anomalies and propose repairs in active NASA projects. Given the current state of business knowledge and IVV - James Dabney's Bayes networks that describe the IVV - The PITS issue tracking data; - The LINKER database project that intends to join PITS to other data sources; - Balanced score card strategy maps from NASA Langley. - and the COCOMO data sets from JPL (note- these data sets are being explored elsewhere; hence, this project will not use its funds to directly explore COCOMO but may lever conclusions from that other project).