Causal Search in Observational Data Workshop

Abstract

Purpose of Workshop - The SEI is leading a three-year research project that seeks to: *Apply modern advances in causal learning (search and estimation) *Go beyond traditional correlation and regression analyses and accurately identify the causal relations among software process factors and product outcomes. With this workshop, we intend to: *Enlighten the practical measurement community *Encourage joint collaboration in the early adoption of causal learning to improve the quality of systems engineering and software engineering research.

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Document Details

Document Type
Technical Report
Publication Date
Sep 10, 2018
Accession Number
AD1084074

Entities

People

  • Bob Stoddard
  • Michael D. Konrad

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Case Studies
  • Causal Reasoning
  • Department Of Defense
  • Engineering
  • Fish
  • Information Science
  • Machine Learning
  • Reasoning
  • Regression Analysis
  • Social Sciences
  • Software Development
  • Statistics
  • Surveys
  • Systems Engineering
  • Universities

Fields of Study

  • Computer science

Readers

  • Regression Analysis.
  • Software Engineering.
  • Systems Analysis and Design