Causal Models for Software Cost Prediction and Control (SCOPE) at the SEI 2019

Abstract

Contents include: Why Causal Learning? Contrary and Surprising Results; What Types of Complexity Drive/Impede Project Success? Which Factors Drive the Number of IAVAs and Effort per Month? Do Architecture Pattern Violations Cause Vulnerabilities? Conclusions and Future Work.

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Document Details

Document Type
Technical Report
Publication Date
Oct 29, 2019
Accession Number
AD1088795

Entities

People

  • David Zubrow
  • Michael D. Konrad
  • Robert W. Stoddard
  • William R. Nichols

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Accounting
  • Algorithms
  • Causal Reasoning
  • Copyrights
  • Data Sets
  • Engineering
  • Governments
  • Information Assurance
  • Learning
  • Materials
  • Platforms
  • Security
  • Segmented
  • Software Development
  • Universities
  • Vulnerability

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Organizational Psychology.
  • Software Engineering.