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Cited by 462

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

A method of programming measurement and estimation

Walston, C. E., Felix, C. P.·1977·IBM Systems Journal

Abstract

The present approach to productivity estimation, although useful, is far from being optimized. Based on the results of the variable analysis described in this paper, and supplemented by the results of the continued investigation of additional variables related to productivity, an experimental regression model has been developed. Preliminary results indicate that the model reduces the scatter. Further work is being done to determine the potential of regression as an estimating tool, as well as to extend the analyses of the areas of computer usage, documentation volume, duration, and staffing.

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Metadata

Authors
Walston, C. E., & Felix, C. P.
Venue
IBM Systems Journal
Publisher
IBM
Published
1977
Volume
16
Issue
1
Pages
54-73
ISSN
0018-8670 (ISSN-L)
OpenAlex
W2089856939
Cited by
462
References
10
FWCI
75.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A method of programming measurement and estimation. https://app.cochat.ai/papers/10.1147/sj.161.0054
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Walston, C. E., & Felix, C. P. (1977). A method of programming measurement and estimation. IBM Systems Journal. https://doi.org/10.1147/sj.161.0054

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.