Browsing by Author "Pathirana, W.P.N.H."

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    Determine a Software Usability Model to Improve User Experience in Generation Z Oriented Software Applications
    (Uva Wellassa University of Sri Lanka, 2019-02) Pathirana, W.P.N.H.; Wickramaarachchi, D.N.
    User Experience (UX) which focuses on having a deep understanding of users, their needs, their abilities, and their limitations, is one of the most important consideration when developing software applications today. Developing sustainable software application considering the main users of the application is the aim of any software company. Main users of software application are people who belong to workforce. New addition to the workforce is Generation Z and it will continue in the future. Therefore, it is important to pay extra attention to increase usability of software for generation Z who are exposed to digital technologies from their early age which may lead them to have different characteristics, expectations as digital natives than previous generations. Moreover, the literature indicates that they have emotional connection with digital world, more trust in digital sources and high regards for experience and pleasure it gives. In this research generation Z’s software usability issues and their expectation towards software applications were identified through literature review and surveys conducted via questionnaires and interviews with generation Z software users, software developers and UX engineers. To address all these requirements, the features which should be incorporated were proposed as the last step and they were validated by software engineers and user experience engineers. Based on the findings, a new model was determined by identifying specific usability challenges in generation Z to improve software usability. Moreover, this study has come up with feasible technologies, approaches that can be incorporated when developing software applications for generation Z.
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    Developing a Lead Generation Mechanism to Identify People’s Contact Points Using Web Data Analytics
    (Uva Wellassa University of Sri Lanka, 2019-02) Senanayake, J.M.D.; Pathirana, W.P.N.H.
    With the popularity of Internet & social media, the volume of data which is being shared through the web has been increased. As a result of that, various paths have been opened to conduct research studies in the area of data science & data mining. Developing a proper mechanism after doing a thorough analysis of web data to identify people’s contact points will be an interesting research study since in this era, people usually tend to keep their digital foot print in the world wide web either by purposely or mistakenly. In this research, a mechanism for lead generation has been introduced by mining & analyzing publicly & freely available web data. Based on some given search criteria, using data extraction through web crawling techniques combining with Named Entity Recognition (NER) algorithms persons’ names were identified at the first stage. Afterwards by performing an in depth search of the web, people’s contact points such as telephone details, email addresses, occupations, interested areas were collected & then analyzed them by applying big data analytics techniques together with data mining to find the high accuracy data. In this process any kind of privacy violation is not happening since this mechanism is only using publicly available data. The final outcome contains very useful data set to many parties specially for financing & marketing industries since they can have an accurate target audience to perform their promotional activities. Not only that but also this research is beneficial for any person since they can have well oriented data regarding the criteria that they want to look at.