Abstract
Brooks’ law is popular in software development. It has been used as a reference for managing software projects for over four decades. However, not enough investigations express this law in a quantitative way that can provide specific project recommendations at critical times in the development process. This paper offers a quantitative way based on our research vehicle of Role-Based Collaboration and the related Environments-Classes, Agents, Roles, Groups, and Objects (E-CARGO) model. The proposed approach is verified by simulations, experiments and a case study. The results produce insights into Brooks’ law, and quantitatively present the applicable scope of the law. This contribution is believed to be significant because it provides a quantitative measurement useful in the development of a software project.
This work was supported in part by Natural Sciences and Engineering Research Council, Canada (NSERC) under grant RGPIN262075-201, National Natural Science Foundation of China (NSFC) (No. 71171107), and Guangzhou City Foreign Cooperation Special Program (No. 7421255280918).
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References
Abdel-Hamid, T.K.: The dynamics of software project staffing: a system dynamics based simulation approach. IEEE Trans. Softw. Eng. 15(2), 109–119 (1989)
Amdahl, G.M.: Validity of the single processor approach to achieving large-scale computing capabilities. In: Proceedings of the American Federation of Information Processing Societies (AFIPS), April 1967, pp. 483–485. Spring Joint Computer Conference, New Jersey (1967)
Berkun, S.: Exceptions to Brooks’ Law. http://scottberkun.com/2006/exceptions-to-brooks-law/. Accessed 10 Jan 2016
Blackburn, J., Lapre, M.A., van Wassenhove, L.N.: Brooks’ Law Revisited: Improving Software Productivity by Managing Complexity, May 2006. http://ssrn.com/abstract=922768 or http://dx.doi.org/10.2139/ssrn.922768
Brooks Jr., F.P.: The Mythical Man-Month, Anniversary Edition: Essays On Software Engineering. Addison-Wesley Longman Co., Crawfordsville (1995)
Chen, W.-N., Zhang, J.: Ant colony optimization for software project scheduling and staffing with an event-based scheduler. IEEE Trans. Softw. Eng. 39(1), 1–17 (2013)
Gordon, R.L., Lamb, J.C.: A close look at Brooks’ law. In: Datamation, pp. 81–86, June 1977
Gustafson, J.L.: Reevaluating Amdahl’s law. Commun. ACM 31(5), 532–533 (1988)
Hsia, P., Hsu, C., Kung, D.C.: Brooks’ law revisited: a system dynamics approach. In: Proceedings of Twenty-Third Annual International Computer Software and Applications Conference, p. 370 (1999)
IBM, ILOG CPLEX Optimization Studio (2013). http://www-01.ibm.com/software/integration/optimization/cplex-optimization-studio/
Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logistic Q. 2, 83–97 (1955). (Reprinted in 52(1): 7–21 (2005))
McCain, K.W., Salvucci, L.J.: How influential is Brooks’ law? A longitudinal citation context analysis of Frederick Brooks’ the Mythical Man-Month. J. Inf. Sci. 32(3), 277–295 (2006)
McConnell, S.: Brooks’ law repealed. IEEE Softw. 16(6), 6–8 (1999)
Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32–38 (1957)
Pressman, R., Maxim, B.: Software Engineering: A Practitioner’s Approach, 8th edn. McGraw-Hill Education, Columbus (2014)
Schweik, C.M., English, R., Kitsing, M., Haire, S.: Brooks’ versus Linus’ law: an empirical test of open source projects. In: Proceeding of the International Conference on Digital Government Research, Montreal, Canada, pp. 423–424, 18–21, May 2008
Weinberg, G.M.: Quality Software Management: volume 1, System Thinking. Dorset House Publishing, New York (1992)
Zhu, H.: Avoiding conflicts by group role assignment. IEEE Trans. Syst. Man Cybern.: Syst. 46(4), 535–547 (2016)
Zhu, H., Zhou, M.C.: Efficient role transfer based on Kuhn-Munkres algorithm. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 42(2), 491–496 (2012)
Zhu, H., Zhou, M.: M-M role-transfer problems and their solutions. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 39(2), 448–459 (2009)
Zhu, H., Zhou, M.C.: Role-Based collaboration and its kernel mechanisms. IEEE Trans. Syst. Man Cybern. Part C 36(4), 578–589 (2006)
Zhu, H., Zhou, M.C., Alkins, R.: Group role assignment via a Kuhn-Munkres algorithm-based solution. IEEE Trans. Syst. Man Cybern. Part A 42(3), 739–750 (2012)
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Thanks go to Mike Brewes of Nipissing University for his assistance in proofreading this article.
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Zhu, H., Liu, D., Zhu, X., Zhu, Y., Teng, S., Zhou, X. (2016). When to Re-staff a Late Project – An E-CARGO Approach. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9790. Springer, Cham. https://doi.org/10.1007/978-3-319-42092-9_16
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