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Using multiple metrics for analysis of improvement

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Abstract

To make global decisions about a project or group of projects, it is necessary to analyse several metrics in concert, as well as changes in individual metrics. This paper discusses several approaches to collective metrics analysis. First, classification tree analysis is described as a technique for evaluating both process and metrics characteristics. Next, the notion of a multiple metrics graph is introduced. Developed initially as a way to evaluate software switch quality, a multiple metrics graph allows collections of metrics to be viewed in terms of overall product or process improvement.

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Author information

Authors and Affiliations

  1. MITRE Corporation, 7525 Colshire Drive, 22102, McLean, Virginia, VA, USA

    Shari Lawrence Pfleeger

  2. GTE Laboratories, 40 Sylvan Road, Waltham, Massachusetts, USA

    Joseph C. Fitzgerald Jr.

  3. GTE Telephone Operations, USA, Irving, Texas

    Dale A. Rippy

Authors
  1. Shari Lawrence Pfleeger
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  2. Joseph C. Fitzgerald Jr.
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  3. Dale A. Rippy
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Additional information

This work was done while the authors were affiliated with Contel Technology Center, Chantilly, Virginia, USA.

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Pfleeger, S.L., Fitzgerald, J.C. & Rippy, D.A. Using multiple metrics for analysis of improvement. Software Qual J 1, 27–36 (1992). https://doi.org/10.1007/BF01720167

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  • DOI: https://doi.org/10.1007/BF01720167

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