Accession Number:

AD1088795

Title:

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

Descriptive Note:

Conference Paper

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA PITTSBURGH United States

Report Date:

2019-10-29

Pagination or Media Count:

9.0

Abstract:

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

Subject Categories:

  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE