Causal Models for Software Cost Prediction and Control (SCOPE)

Abstract

Contents include: What is casual 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
Jan 01, 2019
Accession Number
AD1118453

Entities

People

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

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Accounting
  • Algorithms
  • Business Administration
  • Causal Reasoning
  • Chromium
  • Computing-Related Activities
  • Crossings
  • Data Sets
  • Digital Data
  • Digital Information
  • Dynamics
  • Engineering
  • Information Assurance
  • Learning
  • Measurement
  • Platforms
  • Security
  • Segmented
  • Software Development
  • Universities
  • Vulnerability

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.