Abstract
Usage in the software field deals with knowledge about how end-users use the application and how the application responds to the users’ action. Understanding usage data can help developers optimise the application development process by prioritising the resources such as time, cost and man power on features of the application which are critical for the user. However, in a complex cloud computing environment, the process of extracting and analysing usage data is difficult since the usage data is spread across various front-end interfaces and back-end underlying infrastructural components of the cloud that host the application and are of different types and formats. In this paper, we propose usage analytics, a process to extract and analyse usage to understand the behavioural usage patterns of the user with the aim to identify features critical to user. We demonstrate how to identify the features in a cloud based application, how to extract and analyse the usage data to understand the user behaviour.
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Acknowledgements
This work was supported with the financial support of the Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie).
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Kesavulu, M., Dang-Nguyen, DT., Bezbradica, M., Helfert, M. (2019). Usage Analytics: A Process to Extract and Analyse Usage Data to Understand User Behaviour in Cloud. In: Holzinger, A., Silva, H., Helfert, M. (eds) Computer-Human Interaction Research and Applications. CHIRA 2017. Communications in Computer and Information Science, vol 654. Springer, Cham. https://doi.org/10.1007/978-3-030-32965-5_6
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DOI: https://doi.org/10.1007/978-3-030-32965-5_6
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