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The Standish report: does it really describe a software crisis?

Published: 01 August 2006 Publication History
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  • Abstract

    Reconsidering the relevancy of a frequently cited report on software project failures.

    References

    [1]
    Blum, B.I. Some very famous statistics. The Software Practitioner (Mar. 1991).
    [2]
    Glass, R.L. IT failure rates---70 percent or 10--15 percent? IEEE Software 22, 3 (May--June 2005).
    [3]
    Jorgensen, M. and Molokken, K. How large are software cost overruns? A review of the 1994 Chaos Report. Information and Software Technology 48, 4 (Apr. 2006).
    [4]
    Standish Group International. The Chaos Report; www.standishgroup.com/sample_ research/PDFpages/Chaos1994.pdf.

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    Published In

    cover image Communications of the ACM
    Communications of the ACM  Volume 49, Issue 8
    Music information retrieval
    August 2006
    87 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/1145287
    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 August 2006
    Published in CACM Volume 49, Issue 8

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    • (2023)An approach in applying software quality assurance in academic application: case study of student information system - International Student Module (ISM)International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023)10.1117/12.3011683(30)Online publication date: 20-Dec-2023
    • (2023)An empirical study on a single company’s cost estimations of 338 software projectsEmpirical Software Engineering10.1007/s10664-022-10245-z28:1Online publication date: 1-Jan-2023
    • (2022)A systems interpretation of the software evolution laws and their impact on technical debt management and software maintainabilitySoftware Quality Journal10.1007/s11219-022-09600-631:1(179-209)Online publication date: 6-Sep-2022
    • (2022)Government IT Projects: Current Evidence of Cost and Schedule Overrun and Their AntecedentsAdvances in Information Systems Development10.1007/978-3-030-95354-6_7(109-125)Online publication date: 8-Apr-2022
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