Abstract
This paper presents a framework to identify a problematic or uncontrollable rise in the number of software change requests and to take right actions to fix it. With this work, we propose the use of an acceptable limit number of change requests as indicators to track the evolution of software change requests. The change indicators are used to identify a periodical sharp rise in demands of change requests fast enough and provide the right fix on time. Not only these indicators track the evolution of change request, but they also help to identify the right solution to address the triggers of these change requests.
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Hillah, N., Estier, T. (2018). The Application of Change Indicators in Mining Software Repositories. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_40
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