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Simple software cost analysis: safe or unsafe?

Published: 15 May 2005 Publication History

Abstract

Delta estimation uses changes to old projects to estimate new projects. Delta estimation assumes that new costs can be extrapolated from old projects. In this study, we show that in certain real-world data sets. there exists attributes where this assumption does not hold. We define here an automatic method to find which attributes can be safely used for delta estimation.

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Cited By

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  • (2019)ASCoT, the NASA Analogy Software Cost Tool Suite: Expanding Our Estimation Horizons Jet Propulsion Laboratory, California Institute of Technology Pasadena, CA 911092019 IEEE Aerospace Conference10.1109/AERO.2019.8742200(1-25)Online publication date: Mar-2019
  • (2018)Applications of psychological science for actionable analyticsProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3236050(456-467)Online publication date: 26-Oct-2018
  • (2017)The NASA analogy software cost model: A web-based cost analysis tool2017 IEEE Aerospace Conference10.1109/AERO.2017.7943730(1-17)Online publication date: Mar-2017
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Published In

cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 30, Issue 4
July 2005
1514 pages
ISSN:0163-5948
DOI:10.1145/1082983
Issue’s Table of Contents
  • cover image ACM Other conferences
    PROMISE '05: Proceedings of the 2005 workshop on Predictor models in software engineering
    May 2005
    46 pages
    ISBN:1595931252
    DOI:10.1145/1083165
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 2005
Published in SIGSOFT Volume 30, Issue 4

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Author Tags

  1. COCOMO
  2. LSR
  3. M5
  4. cost estimation
  5. delta estimation
  6. stability

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Cited By

View all
  • (2019)ASCoT, the NASA Analogy Software Cost Tool Suite: Expanding Our Estimation Horizons Jet Propulsion Laboratory, California Institute of Technology Pasadena, CA 911092019 IEEE Aerospace Conference10.1109/AERO.2019.8742200(1-25)Online publication date: Mar-2019
  • (2018)Applications of psychological science for actionable analyticsProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3236050(456-467)Online publication date: 26-Oct-2018
  • (2017)The NASA analogy software cost model: A web-based cost analysis tool2017 IEEE Aerospace Conference10.1109/AERO.2017.7943730(1-17)Online publication date: Mar-2017
  • (2016)Improving and expanding NASA software cost estimation methods2016 IEEE Aerospace Conference10.1109/AERO.2016.7500655(1-12)Online publication date: Mar-2016
  • (2012)I Believe!IEEE Software10.1109/MS.2012.1029:1(4-7)Online publication date: 1-Jan-2012
  • (2011)Software Effort EstimationInternational Journal of Intelligent Information Technologies10.4018/jiit.20110701047:3(41-53)Online publication date: 1-Jul-2011
  • (2010)Prediction of defect distribution based on project characteristics for proactive project managementProceedings of the 6th International Conference on Predictive Models in Software Engineering10.1145/1868328.1868351(1-7)Online publication date: 12-Sep-2010
  • (2022)Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?IEEE Transactions on Software Engineering10.1109/TSE.2021.307324248:8(2939-2954)Online publication date: 1-Aug-2022
  • (2021)How to “DODGE” Complex Software AnalyticsIEEE Transactions on Software Engineering10.1109/TSE.2019.294502047:10(2182-2194)Online publication date: 1-Oct-2021
  • (2016)Finding The Best Software Project Options by PDBO Algorithm for Improving Software Development Effort, Time and QualityProceedings of the 10th International Conference on Informatics and Systems10.1145/2908446.2908448(304-311)Online publication date: 9-May-2016
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