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research-article

A Defined Process For Project Postmortem Review

Published: 01 July 1996 Publication History

Abstract

Conventional wisdom in the software industry decrees that it's good practice to conduct a postmortem study at the end of each project. Some would even suggest that this is not just a useful undertaking, but one of the fundamental principles of successful software development. The rationale authors most often cite for postmortem analysis is that only by analyzing our shortcomings can we learn to do better.We must begin by cataloguing such failures and learning from their patterns. The success of the postmortem-or of any learning process-demands a context that makes organizational learning possible. Participants are empowered when they know that each issue raised during the postmortem process must be added to the risk database and evaluated methodically on each subsequent project.

References

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V. Basili and H.D. Rombach, "The Experience Factory," Encyclopedia of Software Eng., John Wiley & Sons, New York, 1994, pp. 469-476.
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J. Boddie, "The Project Postmortem," Computerworld, Dec. 7 1989.
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  • (2022)Game-based Sprint retrospectives: multiple action researchEmpirical Software Engineering10.1007/s10664-021-10043-z27:1Online publication date: 1-Jan-2022
  • (2019)Improving requirements-test alignment by prescribing practices that mitigate communication gapsEmpirical Software Engineering10.1007/s10664-019-09698-624:4(2364-2409)Online publication date: 1-Aug-2019
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Published In

cover image IEEE Software
IEEE Software  Volume 13, Issue 4
July 1996
128 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 1996

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View all
  • (2023)An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security FailuresProceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses10.1145/3605770.3625214(5-15)Online publication date: 30-Nov-2023
  • (2022)Game-based Sprint retrospectives: multiple action researchEmpirical Software Engineering10.1007/s10664-021-10043-z27:1Online publication date: 1-Jan-2022
  • (2019)Improving requirements-test alignment by prescribing practices that mitigate communication gapsEmpirical Software Engineering10.1007/s10664-019-09698-624:4(2364-2409)Online publication date: 1-Aug-2019
  • (2017)Defining an architecture for evolving environmentsProceedings of the Symposium on Applied Computing10.1145/3019612.3019902(1178-1181)Online publication date: 3-Apr-2017
  • (2017)Recurring opinions or productive improvements--what agile teams actually discuss in retrospectivesEmpirical Software Engineering10.1007/s10664-016-9464-222:5(2409-2452)Online publication date: 1-Oct-2017
  • (2015)Assessing requirements engineering and software test alignment-Five case studiesJournal of Systems and Software10.1016/j.jss.2015.07.018109:C(62-77)Online publication date: 1-Nov-2015
  • (2015)When did your project start? - The software supplier's perspectiveJournal of Systems and Software10.1016/j.jss.2015.02.041104:C(32-40)Online publication date: 1-Jun-2015
  • (2015)Diagrams or structural lists in software project retrospectives - An experimental comparisonJournal of Systems and Software10.1016/j.jss.2015.01.020103:C(17-35)Online publication date: 1-May-2015
  • (2014)Perceived causes of software project failures - An analysis of their relationshipsInformation and Software Technology10.1016/j.infsof.2014.01.01556:6(623-643)Online publication date: 1-Jun-2014
  • (2012)Building Resilience in Large High-Technology ProjectsInternational Journal of Information Technology Project Management10.4018/jitpm.20121001023:4(21-40)Online publication date: 1-Oct-2012
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