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Software Multi-project Resource Scheduling: A Comparative Analysis

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Making Globally Distributed Software Development a Success Story (ICSP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5007))

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Abstract

Software organizations are always multi-project-oriented, in which situation the traditional project management for individual project is not enough. Related scientific research on multi-project is yet scarce. This paper reports result from a literature review aiming to organize, analyze and make sense out of the dispersed field of multi-project resource scheduling methods. A comparative analysis was conducted according to 6 aspects of application situations: value orientation, centralization, homogeneity, complexity, uncertainty and executive ability. The findings show that, traditional scheduling methods from general project management community have high degree of centralization and limited capability to deal with uncertainty, and do not well catered for software projects. In regard to these aspects agile methods are better, but most of them lack scalability to high complexity. Some methods have balanced competence and special attention should be paid to them. In brief, methods should be chosen according to different situations in practice.

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Authors and Affiliations

  1. Institute of Software, Chinese Academy of Sciences,  

    Fei Dong, Mingshu Li, Yuzhu Zhao, Juan Li & Ye Yang

  2. Graduate University of Chinese Academy of Sciences,  

    Fei Dong & Yuzhu Zhao

Authors
  1. Fei Dong
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  2. Mingshu Li
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  3. Yuzhu Zhao
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  4. Juan Li
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  5. Ye Yang
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Editor information

Qing Wang Dietmar Pfahl David M. Raffo

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© 2008 Springer-Verlag Berlin Heidelberg

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Dong, F., Li, M., Zhao, Y., Li, J., Yang, Y. (2008). Software Multi-project Resource Scheduling: A Comparative Analysis. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds) Making Globally Distributed Software Development a Success Story. ICSP 2008. Lecture Notes in Computer Science, vol 5007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79588-9_7

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  • DOI: https://doi.org/10.1007/978-3-540-79588-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79587-2

  • Online ISBN: 978-3-540-79588-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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