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  • 151. Tomaszewski, Piotr
    et al.
    Lundberg, Lars
    Grahn, Håkan
    The accuracy of early fault prediction in modified code2005Conference paper (Refereed)
  • 152. Tomaszewski, Piotr
    et al.
    Lundberg, Lars
    Håkansson, Jim
    Häggander, Daniel
    A Cost-Efficient Server Architecture for Real-Time Credit-Control2005Conference paper (Refereed)
  • 153. Tomaszewski, Piotr
    et al.
    Lundberg, Lars
    Håkansson, Jim
    Häggander, Daniel
    Evaluating Real-Time Credit-Control Server Architectures Implemented on a Standard Platform2005Conference paper (Refereed)
  • 154.
    Vishnubhotla, Sai Datta
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Mendes, Emilia
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Lundberg, Lars
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    An insight into the capabilities of professionals and teams in agile software development: A systematic literature review2018In: PROCEEDINGS OF 2018 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2018), Association for Computing Machinery , 2018, p. 10-19Conference paper (Refereed)
    Abstract [en]

    Background: Previous studies investigated key characteristics of software engineers and factors influencing the performance of individuals, productivity of teams and project success within agile software development (ASD). They aided in the active investigation of human aspects in ASD. However, capability measurement and prediction with respect to agile workforce, owing to its importance, is an area that needs spotlight. Objective: The objective of this paper is to present the state of the art relating to capability measurement of software engineers and teams working in ASD projects. Method: We carried out a systematic literature review (SLR) focused on identifying attributes used for measuring and predicting the capabilities of individual software engineers and teams. Results: Evidence from 16 studies showed attributes that can measure capabilities of engineers and teams, and also attributes that can be used as capability predictors. Further, different instruments used to measure those attributes were presented. Conclusions: The SLR presented a wide list of attributes that were grouped into various categories. This information can be used by project managers as, for example, a checklist to consider when allocating software engineers to teams and in turn teams to a project. Further, this study indicated the necessity for an investigation into capability prediction models. © 2018 Association for Computing Machinery.

  • 155.
    Vishnubhotla, Sai Datta
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Mendes, Emilia
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Lundberg, Lars
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Designing a capability-centric web tool to support agile team composition and task allocation: A work in progress2018In: 2018 IEEE/ACM 11TH INTERNATIONAL WORKSHOP ON COOPERATIVE AND HUMAN ASPECTS OF SOFTWARE ENGINEERING (CHASE), IEEE Computer Society , 2018, Vol. F137813, p. 41-44Conference paper (Refereed)
    Abstract [en]

    A significant number of studies reported models for competence profiling, measuring capabilities of professionals and recommendation systems for roles within agile software development (ASD). These models coordinated in human resource management within ASD. However, in the light of swift, incremental and iterative nature of ASD practices, designing solutions that easily integrate capability measurements with ongoing project management routines, is an important area for investigation. With the support of interviews, grounded theory procedure and workshops, we identified the aspects valued by our industrial collaborator while allocating professionals to tasks. This information was further utilized towards devising a framework for capability-centric Web tool. This tool provides a one-stop solution for project managers to create projects, keep track of capabilities and execute allocation routines. © 2018 ACM.

  • 156. Wohlin, Claes
    et al.
    Lundberg, Lars
    Mattsson, Michael
    Special Issue: Trade-off Analysis of Software Quality Attributes2005In: Software quality journal, ISSN 0963-9314, E-ISSN 1573-1367, Vol. 13, no 4, p. 327-328Article in journal (Refereed)
  • 157.
    Zepernick, Hans-Jürgen
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    Fiedler, Markus
    Blekinge Institute of Technology, School of Engineering, Department of Telecommunication Systems.
    Lundberg, Lars
    Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
    Pettersson, Mats
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    Quality of Experience Based Cross-Layer Design of Mobile Video Systems2008Conference paper (Refereed)
    Abstract [en]

    This paper introduces and discusses quality of experience based cross-layer design of mobile video systems as a means of providing technologies for jointly analyzing, adopting, and optimizing system quality. The many benefits of our novel approaches over traditional concepts will range from efficient video processing techniques over advanced real-time scheduling algorithms, to networking and service level management techniques. This will lead to better service quality and resource utilization in mobile video systems.

1234 151 - 157 of 157
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