Software Quality Metrics: A Software Management Monitoring Method for Air Force Logistics Command in Its Software Quality Assurance Program for the Quantitative Assessment of the System Development Life Cycle under Configuration Management.

Abstract

Software Quality Assurance (SQA) is recognized as an essential function needed to monitor the software system development life cycle (SDLC). The framework established for Software Quality Metrics (SQM) provides goal-directed system specifications and the ability to quantitatively assess the quality of the system under development. The Automated Measurement Tool (AMT), which operationalizes the application of SQM, functions as the core of a Decision Support System, providing quantitative measures and various levels of reports. A literature survey of SQA aids enabled the recommendation of a minimum set of tools and techniques to be used by the SQA program for monitoring the SDLC, which has been envisioned as an iterative process controlled by management. Recognizing the functional impact of specific information as the key to objectively monitoring and controlling the software system development, the decision-making model was conceptualized as three subsystems within each phase of the SDLC: scanning (afferent), organizing (intelligence), and decision (efferent). The use of checklists by system developers highlights a prescriptive method of goal-directed development. The thesis provides justification for using SQM by reviewing the need and demonstrating how the concepts can now be used. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA115501

Entities

People

  • Stanley J. Jarzombek Jr

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Debugging
  • Information Processing
  • Information Science
  • Information Systems
  • Management Personnel
  • Organizational Structure
  • Reliability
  • Software Development
  • Software Metrics
  • System Software

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.