Software Phasing and Schedule Growth Analysis

Abstract

Software development research has not been a focus in the DoD in recent years, generally lacking an analysis on phase distributions and schedule. Putnam (1978) showed measurable effects between early program management and final schedule growth, but these relationships have not been explored using the Software Resources Data Report (SRDR) database. Additionally, industry software development guidance provides rules of thumb for effort allocation, but a comparison of the rules to DoD software projects is nonexistent. Using least square models and Hotelling's T2 test we evaluated conventional rules of thumb for effort allocation against projects in the SRDR database. Given the variation in the data, we find that multiple rules of thumb are applicable to DoD software development. We then compared how the effort allocation varies between projects with either high or low schedule growth. Our analysis shows that increasing effort in early phases decreases the total schedule growth.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2022
Accession Number
AD1174060

Entities

People

  • Daniel A Long

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Sets
  • Databases
  • Department Of Defense
  • Engineering
  • Governments
  • Industrial Engineering
  • Information Science
  • Program Management
  • Radar
  • Software Development
  • Software Metrics
  • Software Testing
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Operations Research
  • Organizational Process Management (OPM).
  • Systems Analysis and Design