Causal Models for Software Cost Prediction and Control (SCOPE)

reportActive / Technical Report | Accesssion Number: AD1118453 | Open PDF

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.

Author(s):
Konrad, Michael ; Stoddard, Robert ; Nichols, William ; Zubrow, David
Author Organization(s):
CARNEGIE-MELLON UNIV PITTSBURGH PA
Funding Organization(s):
Publication Date:
2019 Jan 01
Pagination:
0

Security Markings

RECORD

Collection: TRECMS
Subject Terms
Communities of Interest:
Cyber
Descriptor(s):
causal reasoning, information assurance, learning, universities, vulnerability, data sets, security, software development, algorithms, accounting, dynamics, engineering, measurement
Keyword(s):
causal learning, cognitive fog, iavas(Information Assurance Vulnerability Alerts), sd(super domain)
Subject Categories:
Mathematical and Computer Sciences; Behavioral and Social Sciences
Update Date:
2021 Feb 12