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Causal Models for Software Cost Control (SCOPE)

October 2018 Poster
Michael D. Konrad

This poster describes work in applying causal learning to program datasets to better understand which factors can reduce costs.

Publisher:

Software Engineering Institute

Abstract

To reduce costs in software development, what causes code quality to be good or bad needs to be understood. This research aims to create an actionable, full causal model of software cost factors immediately useful to DoD programs and contract negotiators.