article

A model for measuring information system size

Authors:

Clive D. Wrigley,

Albert S. DexterAuthors Info & Claims

MIS Quarterly, Volume 15, Issue 2

Pages 245 - 257

https://doi.org/10.2307/249386

Published: 01 June 1991 Publication History

Abstract

Management of the software development process requires a thorough understanding of the environment in which development takes place. Ability to estimate, plan, and manage resource consumption is limited by the central problem of determining the size of system specifications. To address this issue, a general strategy for measurement and evaluation of system development environments needs to be established. This article presents a research model that will help managers and researchers understand and establish the linkages between units of systems requirements specification, design, and source code. Initial validation of the model was performed by reverse engineering systems written in a fourth generation language from source code to design metrics. Results indicate that the model may provide reliable measures of system size in terms of both design metrics and lines of code.

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A model for measuring information system size

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Published In

cover image MIS Quarterly

MIS Quarterly Volume 15, Issue 2

June 1991

100 pages

ISSN:0276-7783

Editor:
James C. Emery
Univ. of Pennsylvania, Philadelphia

Issue’s Table of Contents

Publisher

Society for Information Management and The Management Information Systems Research Center

United States

Publication History

Published: 01 June 1991

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Cited By

Pendharkar PRodger J(2021)Quantitative software project management with mixed dataJournal of Software: Evolution and Process10.1002/smr.234833:6Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1002/smr.2348
de Lima Ade Lima LAbe JGonçalves RAlves DNakamatsu K(2018)Paraconsistent Annotated Logic Artificial Intelligence Study in Support of Manager Decision-makingProceedings of the 2nd International Conference on Business and Information Management10.1145/3278252.3278269(154-157)Online publication date: 20-Sep-2018
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Pendharkar PRodger J(2010)Probabilistic and analytical estimation of software development team sizeInternational Journal of Hybrid Intelligent Systems10.5555/1839206.18392117:2(137-153)Online publication date: 1-Apr-2010
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Pendharkar P(2010)Probabilistic estimation of software size and effortExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.11.08537:6(4435-4440)Online publication date: 1-Jun-2010
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Pendharkar PRodger J(2007)An empirical study of the impact of team size on software development effortInformation Technology and Management10.5555/1324991.13249928:4(253-262)Online publication date: 1-Dec-2007
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Pendharkar PSubramanian GRodger J(2005)A Probabilistic Model for Predicting Software Development EffortIEEE Transactions on Software Engineering10.1109/TSE.2005.7531:7(615-624)Online publication date: 1-Jul-2005
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Heales J(2002)A model of factors affecting an information system's change in stateJournal of Software Maintenance: Research and Practice10.1002/smr.27114:6(409-427)Online publication date: 1-Nov-2002
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Heales JOrlikowski WWeill PAng SKrcmar H(2000)Factors affecting information system volatilityProceedings of the twenty first international conference on Information systems10.5555/359640.359724(70-83)Online publication date: 10-Dec-2000
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El Louadi MGalletta DSampler J(1998)An empirical validation of a contingency model for information require-ments determinationACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/313310.31333329:3(31-51)Online publication date: 1-Jun-1998
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