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CASE productivity perceptions of software engineering professionals

Authors:

Ronald J. Norman,

Jay F. Nunamaker, Jr.Authors Info & Claims

Communications of the ACM, Volume 32, Issue 9

Pages 1102 - 1108

https://doi.org/10.1145/66451.66458

Published: 01 September 1989 Publication History

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Abstract

Computer-aided software engineering (CASE) is moving into the problem-solving domain of the systems analyst. The authors undertook a study to investigate the various functional and behavioral aspects of CASE and determine the impact it has over manual methods of software engineering productivity.

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Cited By

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Lending DChervany N(2016)Case Tool Use and Job Design: A Restrictiveness/Flexibility ExplanationJournal of Computer Information Systems10.1080/08874417.2002.1164707343:1(81-90)Online publication date: Feb-2016
https://doi.org/10.1080/08874417.2002.11647073
Subramanian GGershon M(2012)The Selection of Computer‐Aided Software Engineering Tools: A Multi‐Criteria Decision Making ApproachDecision Sciences10.1111/j.1540-5915.1991.tb01909.x22:5(1109-1123)Online publication date: 20-Mar-2012
https://doi.org/10.1111/j.1540-5915.1991.tb01909.x
Huang HYang QXiao JZhai JRaffo DPfahl DZhang L(2011)Automatic mining of change set size information from repository for precise productivity estimationProceedings of the 2011 International Conference on Software and Systems Process10.1145/1987875.1987889(72-80)Online publication date: 21-May-2011
https://dl.acm.org/doi/10.1145/1987875.1987889
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Index Terms

CASE productivity perceptions of software engineering professionals
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management
  2. Software notations and tools
    1. Development frameworks and environments

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Reviews

Reviewer: John E. Martin

This paper describes the authors' investigation into the various functional and behavioral aspects of CASE and their determination of the impact CASE has on manual methods of software engineering. Specifically, the study focused on the perceptions of MIS professionals who perform functions using CASE technology. The study used 91 subjects to evaluate a total of 17 CASE functions. The responses were analyzed and the 17 CASE functions were ranked from most to least productive. With CASE vendors claiming productivity improvements of 30 to 300 percent, this paper is a tidy, straightforward, and refreshing treatment of the subject. Although this study does not attempt to refute productivity claims, it does suggest that productivity gains are limited to specific MIS functions and that these gains differ by function. Anyone considering the purchase of CASE packages should read this paper.

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Published In

Communications of the ACM Volume 32, Issue 9

Special issue: multiprocessing

Sept. 1989

93 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/66451

Editor:
Peter J. Denning
NASA Ames Research Center, Moffett Field, CA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 1989

Published in CACM Volume 32, Issue 9

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Lending DChervany N(2016)Case Tool Use and Job Design: A Restrictiveness/Flexibility ExplanationJournal of Computer Information Systems10.1080/08874417.2002.1164707343:1(81-90)Online publication date: Feb-2016
https://doi.org/10.1080/08874417.2002.11647073
Subramanian GGershon M(2012)The Selection of Computer‐Aided Software Engineering Tools: A Multi‐Criteria Decision Making ApproachDecision Sciences10.1111/j.1540-5915.1991.tb01909.x22:5(1109-1123)Online publication date: 20-Mar-2012
https://doi.org/10.1111/j.1540-5915.1991.tb01909.x
Huang HYang QXiao JZhai JRaffo DPfahl DZhang L(2011)Automatic mining of change set size information from repository for precise productivity estimationProceedings of the 2011 International Conference on Software and Systems Process10.1145/1987875.1987889(72-80)Online publication date: 21-May-2011
https://dl.acm.org/doi/10.1145/1987875.1987889
Degoulet PLucas LJaulent MJean FSauquet DLavril M(2009)An approach for the evaluation of software engineering environments in medicineMedical Informatics10.3109/1463923930902531018:3(195-208)Online publication date: 12-Jul-2009
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Calloway LAriav G(2008)Designing with dialogue charts: a qualitative content analysis of end‐user designers' experiences with a software engineering design toolInformation Systems Journal10.1111/j.1365-2575.1995.tb00092.x5:2(75-103)Online publication date: 28-Jun-2008
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Khatri VRam SSnodgrass R(2006)On augmenting database design-support environments to capture the geo-spatio-temporal data semanticsInformation Systems10.5555/1126965.171191531:2(98-133)Online publication date: 1-Apr-2006
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Index Terms

Recommendations

Software engineering certification and continuous education for software engineering professionals

Computer-aided software engineering (CASE)

Software maintainability: perceptions of EDP professionals

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