Abstract
In the field of the software project management, the distribution and organization of developers has always been a research focus. In a software project, it is of great importance to divide the modules and personnel allocation, which, however, still mainly depends on the project manager’s rich experience, lack of quantitative analysis method. To solve these problems, this paper presents two quantitative models based on information entropy, used in the quantitative analysis of the quality of overall division structure of the project and of the personnel allocation structure in the module with more detailed. Finally, based on the above, this article conducts the example analysis to verify the effectiveness and practicability of the method.
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References
Howard, A.: Software engineering project management. Commun. ACM 44(5), 23–24 (2001)
Gorla, N., Lam, Y.W.: Who should work with whom?: building effective software project teams. Communications of the ACM 47(6), 79–82 (2004)
e. Silva, L.C., Costa, A.P.C.S.: Decision model for allocating human resources in information system projects. International Journal of Project Management 31(1), 100–108 (2013)
Kuchař, Š., Martinovič, J.: Human Resource Allocation in Process Simulations Based on Competency Vectors. In: Snasel, V., Abraham, A., Corchado, E.S. (eds.) SOCO Models in Industrial & Environmental Appl. AISC, vol. 188, pp. 231–240. Springer, Heidelberg (2013)
Acuña, S.T., Gómez, M., Juristo, N.: Towards understanding the relationship between team climate and software quality—a quasi-experimental study. Empirical Software Engineering 13(4), 401–434 (2008)
Acuna, S.T., Juristo, N., Moreno, A.M.: Emphasizing human capabilities in software development. IEEE Software 23(2), 94–101 (2006)
Charette, R.N.: Why software fails. IEEE Spectrum 42(9), 36 (2005)
Otero, L.D., et al.: A systematic approach for resource allocation in software projects. Computers & Industrial Engineering 56(4), 1333–1339 (2009)
McConnell, S.: Brooks’ Law Repealed. IEEE Software 16(6), 6–8 (1999)
Brooks, F.P.: The mythical man-month, vol. 1995. Addison-Wesley, Reading (1975)
Taylor, J.: A survival guide for project managers. AMACOM Div. American Mgmt. Assn. (2006)
Zhang, Y., et al.: Quantitative analysis of system coupling. In: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 4. IEEE (2011)
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He, Z., Zhou, H., Liang, Z., Liu, J. (2013). Quantitative Model of Personnel Allocation Based on Information Entropy. In: Pathan, M., Wei, G., Fortino, G. (eds) Internet and Distributed Computing Systems. IDCS 2013. Lecture Notes in Computer Science, vol 8223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41428-2_29
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DOI: https://doi.org/10.1007/978-3-642-41428-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41427-5
Online ISBN: 978-3-642-41428-2
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