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  • 1.
    Gencel, Cigdem
    et al.
    Blekinge Institute of Technology, School of Computing.
    Petersen, Kai
    Blekinge Institute of Technology, School of Computing.
    Mughal, Aftab Ahmad
    Iqbal, Muhammad Imran
    Blekinge Institute of Technology, School of Computing.
    A Decision Support Framework for Metric Selection in Goal-Based Measurement Programs: GQM-DSFMS2013In: Journal of Systems and Software, ISSN 0164-1212, Vol. 86, no 12, p. 3091-3108Article in journal (Refereed)
    Abstract [en]

    Software organizations face challenges in managing and sustaining their measurement programs over time. The complexity of measurement programs increase with exploding number of goals and metrics to collect. At the same time, organizations usually have limited budget and resources for metrics collection. It has been recognized for quite a while that there is the need for prioritizing goals, which then ought to drive the selection of metrics. On the other hand, the dynamic nature of the organizations requires measurement programs to adapt to the changes in the stakeholders, their goals, information needs and priorities. Therefore, it is crucial for organizations to use structured approaches that provide transparency, traceability and guidance in choosing an optimum set of metrics that would address the highest priority information needs considering limited resources. This paper proposes a decision support framework for metrics selection (DSFMS) which is built upon the widely used Goal Question Metric (GQM) approach. The core of the framework includes an iterative goal-based metrics selection process incorporating decision making mechanisms in metrics selection, a pre-defined Attributes/Metrics Repository, and a Traceability Model among GQM elements. We also discuss alternative prioritization and optimization techniques for organizations to tailor the framework according to their needs. The evaluation of the GQM-DSFMS framework was done through a case study in a CMMI Level 3 software company.

  • 2. Tan, Jia
    et al.
    Rönkkö, Kari
    Blekinge Institute of Technology, School of Computing.
    Gencel, Cigdem
    Blekinge Institute of Technology, School of Computing.
    A framework for software usability & user experience measurement in mobile industry2013Conference paper (Refereed)
    Abstract [en]

    The mobile industry faces challenges in designing software usability and user experience (UX) measurement instruments. The major difficulties arise due to: 1) diversity of definitions and terminology used for usability and UX aspects and attributes, which lead to inconsistencies, and 2) lack of a taxonomy for these attributes with links to well-defined measures in the literature. In this paper, we present a framework to support mobile industry to overcome these challenges. We first unified the terminology and definitions for usability and UX attributes in the literature. Then, we created taxonomy of attributes and sub-attributes. By using the well-known Goal Question Metric (GQM) approach, we identified a comprehensive set of questions and measures for each attribute that could be used as a basis for developing measurement instruments. The framework was evaluated through a case study conducted in a usability research, development and consultancy company for mobile industry in Sweden.

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