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Software Estimation: Demystifying the Black ArtMarch 2006
Publisher:
  • Microsoft Press
  • Div. of Microsoft Corp. One Microsoft Way Redmond, WA
  • United States
ISBN:978-0-7356-0535-0
Published:01 March 2006
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Abstract

A practical guide for software developers and development teams, this book features effective and understandable formulas, procedures, and heuristics to help organizations improve their project cost estimates.

Cited By

  1. Sarro F, Moussa R, Petrozziello A and Harman M (2022). Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates, IEEE Transactions on Software Engineering, 48:6, (1868-1882), Online publication date: 1-Jun-2022.
  2. de França B, Simões R, Silva V and Travassos G Escaping from the time box towards continuous planning Proceedings of the 3rd International Workshop on Rapid Continuous Software Engineering, (43-49)
  3. Saremi R, Yang Y, Ruhe G and Messinger D Leveraging crowdsourcing for team elasticity Proceedings of the 39th International Conference on Software Engineering: Software Engineering in Practice Track, (103-112)
  4. Dragicevic S, Celar S and Turic M (2017). Bayesian network model for task effort estimation in agile software development, Journal of Systems and Software, 127:C, (109-119), Online publication date: 1-May-2017.
  5. Wienke S, Miller J, Schulz M and Müller M Development effort estimation in HPC Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, (1-12)
  6. Dorn J (2016). Sharing Project Experience through Case-based Reasoning, Procedia Computer Science, 99:C, (4-14), Online publication date: 1-Oct-2016.
  7. Idri A, Hosni M and Abran A (2016). Systematic literature review of ensemble effort estimation, Journal of Systems and Software, 118:C, (151-175), Online publication date: 1-Aug-2016.
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  10. Lauenroth K and Kamsties E People's Capabilities are a Blind Spot in RE Research and Practice Proceedings of the 22nd International Working Conference on Requirements Engineering: Foundation for Software Quality - Volume 9619, (243-248)
  11. Griffith I, Izurieta C, Taffahi H and Claudio D A simulation study of practical methods for technical debt management in agile software development Proceedings of the 2014 Winter Simulation Conference, (1014-1025)
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  15. Dagnino A Estimating software-intensive projects in the absence of historical data Proceedings of the 2013 International Conference on Software Engineering, (941-950)
  16. Amasaki S and Yokogawa T A study on predictive performance of regression-based effort estimation models using base functional components Proceedings of the 13th international conference on Product-Focused Software Process Improvement, (350-354)
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  19. Crasso M, Zunino A and Campo M (2011). A Survey of Approaches to Web Service Discovery in Service-Oriented Architectures, Journal of Database Management, 22:1, (102-132), Online publication date: 1-Jan-2011.
  20. Simperl E, Bürger T and Hofer C FOLCOM or the costs of tagging Proceedings of the 17th international conference on Knowledge engineering and management by the masses, (163-177)
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  25. Eveleens J and Verhoef C (2009). Quantifying IT forecast quality, Science of Computer Programming, 74:11-12, (934-988), Online publication date: 1-Nov-2009.
  26. Peischl B, Nica M, Zanker M and Schmid W Recommending Effort Estimation Methods for Software Project Management Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03, (77-80)
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  29. Abildgren R, Diguet J, Bomel P, Gogniat G, Koch P and Le Moullec Y (2008). A priori implementation effort estimation for hardware design based on independent path analysis, EURASIP Journal on Embedded Systems, 2008, (1-12), Online publication date: 15-Jan-2008.
Contributors
  • Microsoft Corporation
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