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  • 1.
    FU, YU
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Mobile application rating based on AHP and FCEM: Using AHP and FCEM in mobile application features rating2017Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
    Abstract [en]

    Context. Software evaluation is a research hotspot of both academia and industry. Users as the ultimate beneficiary of software products, their evaluation becomes more and more importance. In the real word, the users’ evaluation outcomes as the reference for end-users selecting products, and for project managers comparing their product with competitive products. A mobile application is a special software, which is facing the same situation. It is necessary to find and test an evaluation method for a mobile application which based on users’ feedback and give more reference for different stakeholders.

    Objectives. The aim of this thesis is to apply and evaluate AF in mobile application features rating. There are three kinds of people, and three processes are involved in a rating method applying process, rating designers in rating design process, rating providers in the rating process, and end-users in selecting process. Each process has the corresponding research objectives and research questions to test the applicability of AF method and the satisfaction of using AF and using AF rating outcomes.

    Methods. The research method of this thesis is a mixed method. The thesis combined experiment, questionnaire, and interview to achieve the research aim. The experiment is using for constructing a rating environment to simulate mobile application evaluation in the real world and test the applicability of AF method. Questionnaire as a supporting method utilizing for collecting the ratings from rating providers. And interviews are used for getting the satisfaction feedback of rating providers and end-users. Results. In this thesis, all AF use conditions are met, and AF evaluation system can be built in mobile application features rating. Comparing with existing method rating outcomes, the rating outcomes of AF are correct and complete. Although, the good feelings of end-users using AF rating outcomes to selecting a product, due to the complex rating process and heavy time cost, the satisfaction of rating providers is negative.

    Conclusions. AF can be used in mobile application features rating. Although there are many obvious advantages likes more scientific features weight, and more rating outcomes for different stakeholders, there are also shortages to improve such as complex rating process, heavy time cost, and bad information presentation. There is no evidence AF can reply the existing rating method in apps stores. However, there is still research value of AF in future work. 

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