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  • 1.
    Nidhra, Srinivas
    et al.
    Blekinge Institute of Technology, School of Computing.
    Kelapanda Satish, Likith Poovanna
    Blekinge Institute of Technology, School of Computing.
    Ethiraj, Vinay Sudha
    Blekinge Institute of Technology, School of Computing.
    Analytical Hierarchy Process issues and mitigation strategy for large number of requirements: An experimental study2012Conference paper (Refereed)
    Abstract [en]

    Now-a-days most software projects have more candidate requirements. So it is vital for software companies to use different prioritization techniques to select valuable requirements among the candidate requirements. But software companies usually face a lot of challenges in using AHP such as increase in time and complexity with respect to number of comparisons. In this paper, we present previous work carried out in this research area and industrial study to identify the challenges software companies face while prioritizing large number of requirements using AHP. Different types of prioritization techniques have been developed to resolve these challenges. This paper focus on Numeral assignment technique which groups requirements into three categories: critical, standard and optional and AHP which prioritize requirements based on pair-wise comparisons. In this article we proposed a model i.e., NAcAHP where in which pair-wise comparison of AHP is applied on critical group of Numeral assignment technique for prioritizing the requirements. The result shows that the proposed model minimizes the time and complexity of pair wise comparison.

  • 2. Shaker, Noor
    et al.
    Togelius, Julian
    Yannakakis, Georgios
    Poovanna, Likith
    Blekinge Institute of Technology, School of Computing.
    Ethiraj, Vinay
    Blekinge Institute of Technology, School of Computing.
    Johansson, Stefan
    Blekinge Institute of Technology, School of Computing.
    Gallagher, Marcus
    Reynolds, Robert
    Heether, Leonard
    Schumann,, Tom
    The turing test track of the 2012 Mario AI Championship: Entries and evaluation2013Conference paper (Refereed)
    Abstract [en]

    The Turing Test Track of the Mario AI Championship focused on developing human-like controllers for a clone of the popular game Super Mario Bros. Competitors participated by submitting AI agents that imitate human playing style. This paper presents the rules of the competition, the software used, the voting interface, the scoring procedure, the submitted controllers and the recent results of the competition for the year 2012. We also discuss what can be learnt from this competition in terms of believability in platform games. The discussion is supported by a statistical analysis of behavioural similarities and differences among the agents, and between agents and humans. The paper is co-authored by the organizers of the competition (the first three authors) and the competitors.

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