Browsing by Author "Bundy, Gary N."

Now showing 1 - 3 of 3
  • Thumbnail Image
    Defining Software Quality Measures: A Systematic Approach Embedded in the Objectives, Principles, Attributes Framework
    Bundy, Gary N.; Arthur, James D. (Department of Computer Science, Virginia Polytechnic Institute & State University, 1992)
    Currently, software quality measures and metrics are being developed in isolation and often without the benefit of a guiding framework. In this paper we describe a systematic process for identifying measurement approaches and defining corresponding metrics that definitively support software quality assessment. That systematic process embodies five well-defined steps that reflect quality assessment within a framework which links the achievement of desirable software engineering objectives to the use of appropriate principles, and the use of principles to the manifestation of desirable product attributes. Ada is the language we have chosen to examine; the Ada package is used to illustrate the identification and definition process.
  • Thumbnail Image
    Measuring Software Quality in ADA Packages: An Objectives,Principles, Attributes Framework
    Bundy, Gary N.; Arthur, James D. (Department of Computer Science, Virginia Polytechnic Institute & State University, 1990)
    This paper describes preliminary results stemming from a research effort focusing on assessing the quality of an Ada-based product. The presentation emphasizes
  • Thumbnail Image
    Software Quality Measurement: Validation of a Foundational Approach
    Arthur, James D.; Nance, Richard E.; Bundy, Gary N.; Dorsey, Edward V.; Henry, Joel (Department of Computer Science, Virginia Polytechnic Institute & State University, 1991)
    This report discusses the first year findings of a proposed three year investigation effort that focuses on the assessment and prediction of software quality. The research exploits fundamental linkages among software engineering Objectives, Principles and Attributes (the OPA framework). Process, code and document quality indicators are presented relative to the OPA framework, with elaboration on their individual roles in assessing and predicting software quality. The synthesis of an Ada code analyzer is discussed as well as proposed complementary tools comprising an automated data collection and report generation system. Key Words and Phrases: Simulation quality assessment and prediction; software engineering objectives, principles and attributes; software quality indicators, process indicators, code indicators, document quality indicators.