Abstract
Software project managers use a variety of informal methods to track the progress of development and refine project schedules. Previous formal techniques have generally assumed a constant implementation pace. This is at odds with the experience and intuition of many project managers. We present a simple model for charting the pace of software development and helping managers understand the changing implementation pace of a project. The model was validated against data collected from the implementation of several large projects.
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References
Boehm, B.W.: Software Engineering Economics. Prentice-Hall, Englewood Cliffs (1981)
McConnell, S.: Software Project Survival Guide. Microsoft Press, Redmond (1998)
Fenton, N.E.: Software Metrics: A Rigorous Approach. Chapman and Hall, London (1991)
Kafura, D., Canning, J.: A validation of software metrics using many metrics and two resources. In: Proceedings of the 8th International Conference on Software Engineering, pp. 378–385 (1985)
Fenton, N.E., Neil, M.: Software metrics: roadmap. In: Proceedings of the conference on The future of Software Engineering, pp. 357–370. ACM Press, New York (2000)
Albrecht, A.J., John, E., Gaffney, J.: Software function, source lines of code, and development effort prediction: A software science validation. IEEE Transactions on Software Engineering 9(6), 639–648 (1983)
Humphrey, W.S.: A Discipline for Software Engineering. Addison-Wesley, Reading (1994)
Schneidewind, N.F.: Measuring and evaluating maintenance process using reliability, risk, and test metrics. IEEE Transactions on Software Engineering 25(6), 761–781 (1999)
Beck, K.: Extreme Programming Explained: Embrace Change. Addison-Wesley, Reading (1999)
Towell, D.: An implementation progress model. Master’s thesis, Texas Tech University (2004)
De Marco, T.: Controlling Software Projects - Management, Measurement and Estimation. Yourdon Press, Inglewood Cliffs (1982)
Lind, R.K., Vairavan, K.: An experiemental investigation of software metrics and their relationship to software development effort. IEEE Transactions on Software Engineering 15(5), 649–653 (1989)
Jorgensen, M.: Experience with the accuracy of software maintenance task effort prediction models. IEEE Transactions on Software Engineering 21(8), 674–681 (1995)
El-Eman, K.: A methodology for validating software product metrics. Technical Report NRC/ERB-1076 44142, National Research Council Canada, Institute for Information Technology (2000)
Sackman, H., Erikson, W.J., Grant, E.E.: Exploratory experimentation studies comparing online and offline programming performance. Communications of the ACM 1(1), 3–11 (1968)
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© 2006 Springer-Verlag Berlin Heidelberg
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Towell, D., Denton, J. (2006). A Software Implementation Progress Model. In: Baresi, L., Heckel, R. (eds) Fundamental Approaches to Software Engineering. FASE 2006. Lecture Notes in Computer Science, vol 3922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11693017_9
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DOI: https://doi.org/10.1007/11693017_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33093-6
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