Software Quality Measurement for Distributed Systems. Volume 3. Distributed Computing Systems: Impact on Software Quality.

Abstract

Software metrics (or measurements) which are used to indicate and predict levels of software quality were extended from previous research to include considerations for distributed computing systems. Aspects of the products of software life-cycle activities which could affect the quality levels of software, and metrics to measure them, were identified. Two new quality factors, survivability and expendability, were validated. A Guidebook for Software Quality Measurement was produced to aid in setting quality goals, applying metric measurements, and making quality level assessments. New metrics for interoperability and reusability were also included in the guidebook. This volume describes a qualitative study of distributed system characteristics, reasons for selection, design strategies, topologies, scenarios, and trade-offs. These analyses led to the changes in the Framework shown in Volume I, and to the validation of models.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA137957

Entities

People

  • J. Tsai
  • J. V. Post
  • P. E. Presson
  • R. L. Schmidt
  • T. P. Bowen

Organizations

  • Boeing

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Software
  • Communication Channels
  • Communication Systems
  • Computer Networks
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Digital Communications
  • Multiple Access
  • Network Science
  • Systems Engineering
  • Warning Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.