Cross-site large-scale software delivery with enhanced git branch model

Che Yu Chang, Pei Pei Ou, Der Jiunn Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the organization grows onto multiple countries, several feature deliveries become more complex and introduce interactive impact. Since the widely used Git branch model could not well support cross-site concurrent development, this paper points out the challenges of large-scale software delivery for engineering teams across sites and propose an enhanced Git branch model, including geographic branch hierarchy and weekly release cycle to reduce Git merge complexity and ease feature planning. The theoretical model and practical historical data are provided to prove the effect.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 10th International Conference on Software Engineering and Service Science, ICSESS 2019
EditorsWenzheng Li, M. Surendra Prasad Babu
PublisherIEEE Computer Society
Pages153-156
Number of pages4
ISBN (Electronic)9781728109459
DOIs
Publication statusPublished - 2019 Oct
Event10th IEEE International Conference on Software Engineering and Service Science, ICSESS 2019 - Beijing, China
Duration: 2019 Oct 182019 Oct 20

Publication series

NameProceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Volume2019-October
ISSN (Print)2327-0586
ISSN (Electronic)2327-0594

Conference

Conference10th IEEE International Conference on Software Engineering and Service Science, ICSESS 2019
CountryChina
CityBeijing
Period19-10-1819-10-20

All Science Journal Classification (ASJC) codes

  • Software

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  • Cite this

    Chang, C. Y., Ou, P. P., & Deng, D. J. (2019). Cross-site large-scale software delivery with enhanced git branch model. In W. Li, & M. S. P. Babu (Eds.), Proceedings of 2019 IEEE 10th International Conference on Software Engineering and Service Science, ICSESS 2019 (pp. 153-156). [9040834] (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/ICSESS47205.2019.9040834