Abstract
Release length is of great significance to companies as well as to researchers as it provides a deeper insight into the rules and practices followed by the applications. It has been observed that many Open Source projects follow agile practices of parallel development and Rapid Releases (RR) but, very few studies till date, have analyzed release patterns of these Open Source projects. This paper analyzes ten Open Source Java projects (Apache Server Foundation) comprising 718 releases to study the evolution of release lengths. The results of the study show that: (1) eight out of ten datasets followed RR models. (2) None of these datasets followed RR models since their first release. (3) The average release length was found to be four months for major versions and one month for minor versions (exceptions removed). (4) There exists a negative correlation between number of contributors and release length.
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Kaur, A., Vig, V. (2019). On Understanding the Release Patterns of Open Source Java Projects. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_2
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DOI: https://doi.org/10.1007/978-981-10-8055-5_2
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