Evolving Relationships between Social Networks and Stakeholder Involvement in Software Projects

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Soo Ling Lim and Peter J. Bentley",
  title =        "Evolving Relationships between Social Networks and
                 Stakeholder Involvement in Software Projects",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "1899--1906",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, SBSE, Social network analysis,
                 search-based software engineering",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001831",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  URL =          "http://soolinglim.files.wordpress.com/2010/07/fp551-lim.pdf",
  size =         "8 pages",
  abstract =     "Software projects often fail because stakeholder
                 communication and involvement are inadequate. This
                 paper proposes a novel method to understand project
                 social networks and their corresponding stakeholder
                 involvement. The method uses five types of model social
                 network, which represent various types of stakeholder
                 activity in a project. It exploits evolutionary
                 computation to correlate the social network of a real
                 software project against each model. Experiments show
                 that the real project most resembles the rational model
                 where stakeholders who are more highly connected in the
                 social network are more involved in the project.",
  notes =        "Also known as \cite{2001831} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",

Genetic Programming entries for Soo Ling Lim Peter J Bentley