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ABSTRACT

This paper describes analysis techniques used to quantitatively assess the software maintenance process of a large military contractor, and the results obtained. The analysis techniques make use of basic data collected throughout the maintenance process. The data collected are extensive and allow a set of functional enhancements to be traced to process activities and product impact. Simple nonparametric statistical techniques are then applied to test relationships between data items. The results provide valuable information for predicting process and product characteristics, and assessing the maintenance process.

REFERENCES

• CANR72: Canning, R., "The Maintenance 'Iceberg,'" EDP Analyzer, October 1972.
• HENJ92: Henry, J. E.and Henry, S., "An Integrated Approach to Software Process Assessment," Proceedings of the Pacific Northwest Software Quality Conference, to appear, October 1992.
• IMAR83: R. L. Iman , W. J. Conover, Modern business statistics, John Wiley & Sons, Inc., New York, NY, 1988
• OTTL88: Ott, L., An Introduction to Statistical Methods and Data Analysis, PWS-Kent, 1988.
• PRER87: R S Pressman, Software engineering: a practitioner's approach (2nd ed.), McGraw-Hill, Inc., New York, NY, 1986
• SCHN92: Norman F. Schneidewind, Methodology for Validating Software Metrics, IEEE Transactions on Software Engineering, v.18 n.5, p.410-422, May 1992 [doi>10.1109/32.135774]

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.3 Software Management
          Subjects: Software development

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Military

General Terms:
Design, Management, Performance