• Title of article

    Creating Process-Agents incrementally by mining process asset library

  • Author/Authors

    Hui Huang، نويسنده , , Junchao Xiao، نويسنده , , Qiusong Yang، نويسنده , , Qing Wang، نويسنده , , Hong Wu، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    17
  • From page
    183
  • To page
    199
  • Abstract
    Software process trustworthiness is the degree of confidence that a software process produces expected trustworthy work products that satisfy requirements. Software processes are dynamic and highly people-dependent. The performance of software processes relies not only on the process itself, but also on the personnel’s capabilities. Therefore, management of human resources and evaluation of a company’s work force capabilities are crucial and will affect software process trustworthiness. Our software process modeling method OEC-SPM (Organization-Entity Capability based Software Process Modeling) has been shown to take into account personnel’s capabilities and groups software developers with certain capabilities into a Process-Agent, which is a way of organizing human resources and process asset libraries in software organizations, and will help to improve trustworthiness of software processes. This paper proposes a novel method for incrementally mining Process-Agents from process asset libraries to support OEC-SPM. The method can automatically and incrementally create Process-Agents under three scenarios with high efficiency. Furthermore, we assess the method with the data from real industry setting. The results show that the utilization of human resources in an organization can be optimized when personnel’s capabilities are taken into account. Additionally, reasonable resource scheduling making use of Process-Agents will result in higher trustworthiness.
  • Keywords
    Software process , Clustering , trustworthiness , Process-Agent , Human resource
  • Journal title
    Information Sciences
  • Serial Year
    2013
  • Journal title
    Information Sciences
  • Record number

    1215563