Quantitative measurements based on process and context models

  • Nazim H. Madhavji
  • John Botsford
  • Tilmann F. W. Bruckhaus
  • Khaled El Emam
Conference paper

DOI: 10.1007/3-540-57092-6_102

Part of the Lecture Notes in Computer Science book series (LNCS, volume 706)
Cite this paper as:
Madhavji N.H., Botsford J., Bruckhaus T.F.W., El Emam K. (1993) Quantitative measurements based on process and context models. In: Rombach H.D., Basili V.R., Selby R.W. (eds) Experimental Software Engineering Issues: Critical Assessment and Future Directions. Lecture Notes in Computer Science, vol 706. Springer, Berlin, Heidelberg

Abstract

Measurement of a software development process is an important way to understand and improve processes. In this paper we propose that measurement programs should be based on a solid understanding of the process and the process context. One way to achieve this type of understanding is to first build formal process and context models. It is pointed out that process and context models can be used to systematically adapt, improve, reuse and standardise measurement programs. We conclude by describing briefly the currently conducted case studies that led to the views expressed in this position statement.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • Nazim H. Madhavji
    • 1
  • John Botsford
    • 2
  • Tilmann F. W. Bruckhaus
    • 1
  • Khaled El Emam
    • 1
  1. 1.School of Computer ScienceMcGill UniversityMontréalCanada
  2. 2.Laboratory, Centre for Advanced StudiesIBM Canada Ltd.North YorkCanada

Personalised recommendations