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A Study on the Variability Analysis Method with Cases for Process Tailoring

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Advanced Multimedia and Ubiquitous Engineering (MUE 2018, FutureTech 2018)

Abstract

Software development companies are trying to produce their software products by development processes. However, software development companies have a difficulty on applying a development process to various software development domains. The difficulty like this happens because process tailoring is not a simple work. Process tailoring needs various experiences and involves an intimate knowledge of several aspects of software engineering, but there is a limit in improving the quality of software development processes which a process engineer defines with heuristic way by relying on experience or knowledge of the individual. To ameliorate these problems, we proposed a variability analysis method with cases applying domain analysis technique on software product line to make it possible to reduce the dependency on knowledge or experience of a process engineer in the software development company for process tailoring. If a process engineer tries to apply a suggested method for process tailoring in the software development company, a process engineer can obtain reusable process assets through identifying variabilities in existing process assets.

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Acknowledgements

This research was supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014M3C4A7030503). JeongAh Kim is the corresponding author.

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Correspondence to Jeong Ah Kim .

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Choi, S.Y., Kim, J.A., Cho, Y. (2019). A Study on the Variability Analysis Method with Cases for Process Tailoring. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_27

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  • DOI: https://doi.org/10.1007/978-981-13-1328-8_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1327-1

  • Online ISBN: 978-981-13-1328-8

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