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Journal of Systems and Software
Volume 59, Issue 1, 15 October 2001, Pages 23-41
 
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doi:10.1016/S0164-1212(01)00046-2    How to Cite or Link Using DOI (Opens New Window)
Crown copyright © 2001 Published by Elsevier Science Inc.

An empirical evaluation of the ISO/IEC 15504 assessment model

Khaled El EmamCorresponding Author Contact Information, E-mail The Corresponding Author, a and Ho-Won JungE-mail The Corresponding Author, b

a National Research Council, Canada, Institute for Information Technology, Software Engineering, Building M-50, Montreal Road, Ottawa, Ont., Canada K1A OR6 b Department of Business Administration, Korea University, Anam-dong 5Ka, Sungbuk-gu, Seoul 136-701, Republic of Korea

Received 22 February 2000; 
revised 21 June 2000; 
accepted 2 January 2001. 
Available online 29 October 2001.

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Abstract

The emerging international standard ISO/IEC 15504 (Software Process Assessment) includes an exemplar assessment model (known as Part 5). Thus far, the majority of users of ISO/IEC 15504 employ the exemplar model as the basis for their assessments. This paper describes an empirical evaluation of the exemplar model. Questionnaire data was collected from the lead assessors of 57 assessments world-wide. Our findings are encouraging for the developers and users of ISO/IEC 15504 in that they indicate that the current model can be used successfully in assessments. However, they also point out some weaknesses in the rating scheme that need to be rectified in future revisions of ISO/IEC 15504.

Author Keywords: Software process assessment; Assessment model; Process improvement; Standards; Software process

Article Outline

1. Introduction
2. Background
2.1. The document set
2.2. Assessments using ISO/IEC 15504
2.3. An overview of part 5 (the exemplar model)
3. Research method
3.1. Data collection
3.2. Unit of analysis
3.3. Data analysis
3.3.1. Aggregation of responses
3.3.2. Confidence intervals
3.3.3. Missing data
3.3.4. Interpretation of proportions
4. Results
4.1. Descriptive statistics
4.1.1. Summary of assessed OUs
4.1.2. Background and experience of assessors
4.2. Use of Part 5
4.3. Table format for results
4.4. Usefulness and ease of use
4.5. Meaningfulness of rating and aggregation scheme
4.6. Usability of the rating scale
4.7. Usefulness of indicators
4.8. Understanding the process and capability dimensions
5. Summary and conclusions
Acknowledgements
Appendix A. Multiple imputation method
A.1. Notation
A.2. Ignorable models
A.3. Overall multiple imputation process
A.4. Modelling task
A.5. Estimation task
A.6. Imputation task
A.7. Analysis task
A.8. Combination task
A.9. Hot-deck imputation: overview
A.10. Metric-matching hot-deck
A.11. Response propensity matching
A.12. An improper hot-deck imputation method
A.13. The approximate bayesian bootstrap
A.14. Summary
References
Vitae













 
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