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The Experts below are selected from a list of 142086 Experts worldwide ranked by ideXlab platform

Arne Beckhaus - One of the best experts on this subject based on the ideXlab platform.

  • the impact of collaboration network structure on issue tracking s process efficiency at a large Business Software vendor
    Hawaii International Conference on System Sciences, 2010
    Co-Authors: Arne Beckhaus, Lars M Karg, Dirk Neumann
    Abstract:

    Researchers in the IS domain have addressed communication structure and its effect on performance. While early research focused on small networks and utilized sociometric surveys, recent works have concentrated on electronic data sources provided by open source Software repositories. Surprisingly, Software vendors have less frequently been studied despite their need for continuous enhancement of organizational design. In this study, we analyze a global Business Software vendor by utilizing existing data sources. We investigate the association of both collaboration network centrality and communication with process efficiency. Despite coping with complex, interweaved processes and social networks, we find that communication, centrality in the large case-study-wide network, and communication pattern homogeneity are positively associated with process efficiency. However, centrality in small work groups slows the analyzed issue tracking process down, possibly due to increased overhead and bottleneck effects that become visible when looking at single issues qualitatively.

  • applicability of Software reliability growth modeling in the quality assurance phase of a large Business Software vendor
    Computer Software and Applications Conference, 2009
    Co-Authors: Arne Beckhaus, Lars M Karg, Gerrit Hanselmann
    Abstract:

    Software reliability growth modeling aims to use data on experienced failures for prediction of future quality levels. We analyze the applicability of this approach in the context of Business Software that is still in the quality assurance phase and has not been released to the customer yet. We find that the approach is not applicable in our research setup that is characterized by an agile process organization. We identify qualitative reasons why the models' assumptions are violated in our industrial case study and conduct a quantitative analysis whether data availability challenges can be addressed by mapping issue tracking data as the only available data source to the required system under test execution time. The derived metrics support managers in their decision whether their processes are suited for Software reliability growth modeling.

  • the impact of communication structure on issue tracking efficiency at a large Business Software vendor
    2009
    Co-Authors: Arne Beckhaus, Dirk Neumann
    Abstract:

    Software development’s organizational design is often characterized by geographical dispersion and virtual team work. In this setup, communication is an essential task. We study this task by analyzing the association between communication structure and efficiency of the issue tracking process. This key process within Software development is primarily carried out digitally and thus provides a suitable data set for analysis. We find that communication structure is associated with issue tracking efficiency in a case study at a large Business Software vendor.

Dirk Neumann - One of the best experts on this subject based on the ideXlab platform.

  • the impact of collaboration network structure on issue tracking s process efficiency at a large Business Software vendor
    Hawaii International Conference on System Sciences, 2010
    Co-Authors: Arne Beckhaus, Lars M Karg, Dirk Neumann
    Abstract:

    Researchers in the IS domain have addressed communication structure and its effect on performance. While early research focused on small networks and utilized sociometric surveys, recent works have concentrated on electronic data sources provided by open source Software repositories. Surprisingly, Software vendors have less frequently been studied despite their need for continuous enhancement of organizational design. In this study, we analyze a global Business Software vendor by utilizing existing data sources. We investigate the association of both collaboration network centrality and communication with process efficiency. Despite coping with complex, interweaved processes and social networks, we find that communication, centrality in the large case-study-wide network, and communication pattern homogeneity are positively associated with process efficiency. However, centrality in small work groups slows the analyzed issue tracking process down, possibly due to increased overhead and bottleneck effects that become visible when looking at single issues qualitatively.

  • the impact of communication structure on issue tracking efficiency at a large Business Software vendor
    2009
    Co-Authors: Arne Beckhaus, Dirk Neumann
    Abstract:

    Software development’s organizational design is often characterized by geographical dispersion and virtual team work. In this setup, communication is an essential task. We study this task by analyzing the association between communication structure and efficiency of the issue tracking process. This key process within Software development is primarily carried out digitally and thus provides a suitable data set for analysis. We find that communication structure is associated with issue tracking efficiency in a case study at a large Business Software vendor.

Lars M Karg - One of the best experts on this subject based on the ideXlab platform.

  • the impact of collaboration network structure on issue tracking s process efficiency at a large Business Software vendor
    Hawaii International Conference on System Sciences, 2010
    Co-Authors: Arne Beckhaus, Lars M Karg, Dirk Neumann
    Abstract:

    Researchers in the IS domain have addressed communication structure and its effect on performance. While early research focused on small networks and utilized sociometric surveys, recent works have concentrated on electronic data sources provided by open source Software repositories. Surprisingly, Software vendors have less frequently been studied despite their need for continuous enhancement of organizational design. In this study, we analyze a global Business Software vendor by utilizing existing data sources. We investigate the association of both collaboration network centrality and communication with process efficiency. Despite coping with complex, interweaved processes and social networks, we find that communication, centrality in the large case-study-wide network, and communication pattern homogeneity are positively associated with process efficiency. However, centrality in small work groups slows the analyzed issue tracking process down, possibly due to increased overhead and bottleneck effects that become visible when looking at single issues qualitatively.

  • applicability of Software reliability growth modeling in the quality assurance phase of a large Business Software vendor
    Computer Software and Applications Conference, 2009
    Co-Authors: Arne Beckhaus, Lars M Karg, Gerrit Hanselmann
    Abstract:

    Software reliability growth modeling aims to use data on experienced failures for prediction of future quality levels. We analyze the applicability of this approach in the context of Business Software that is still in the quality assurance phase and has not been released to the customer yet. We find that the approach is not applicable in our research setup that is characterized by an agile process organization. We identify qualitative reasons why the models' assumptions are violated in our industrial case study and conduct a quantitative analysis whether data availability challenges can be addressed by mapping issue tracking data as the only available data source to the required system under test execution time. The derived metrics support managers in their decision whether their processes are suited for Software reliability growth modeling.

Rita Nostdal - One of the best experts on this subject based on the ideXlab platform.

  • enabling it for mass customisation the it architecture to support an extended enterprise offering mass customised products
    International Journal of Mass Customisation, 2006
    Co-Authors: Joachim Warschat, Mehmet Kurumluoglu, Rita Nostdal
    Abstract:

    The transformation from mass-produced to mass-customised goods is challenging. Such a radical change in the product nature forces a revision of the processes and supporting Information Technology (IT) systems within an 'Extended Mass Customising Enterprise'. Based on the processes for marketing, sales, design, production and distribution, an IT architecture in connection with all required IT systems and their specifications will be presented. Finally, a case study including the composition of standard Business Software tools to support the above-mentioned processes of an 'Extended Mass Customising Enterprise' will be presented.

Gerrit Hanselmann - One of the best experts on this subject based on the ideXlab platform.

  • applicability of Software reliability growth modeling in the quality assurance phase of a large Business Software vendor
    Computer Software and Applications Conference, 2009
    Co-Authors: Arne Beckhaus, Lars M Karg, Gerrit Hanselmann
    Abstract:

    Software reliability growth modeling aims to use data on experienced failures for prediction of future quality levels. We analyze the applicability of this approach in the context of Business Software that is still in the quality assurance phase and has not been released to the customer yet. We find that the approach is not applicable in our research setup that is characterized by an agile process organization. We identify qualitative reasons why the models' assumptions are violated in our industrial case study and conduct a quantitative analysis whether data availability challenges can be addressed by mapping issue tracking data as the only available data source to the required system under test execution time. The derived metrics support managers in their decision whether their processes are suited for Software reliability growth modeling.