An Approach Based on Process Mining Techniques to Support Software Development
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-08246-7_2
Reference29 articles.
1. Akbar, M.A., Sang, J., Khan, A.A., Shafiq, M., Hussain, S., Hu, H., Elahi, M., Xiang, H.: Improving the quality of software development process by introducing a new methodology—Az-model. IEEE Access 6, 4811–4823 (2018). https://doi.org/10.1109/ACCESS.2017.2787981
2. Alaydrus, F., Raharjo, T., Hardian, B., Prasetyo, A.: Approaches in determining software development methods for organizations: a systematic literature review. In: 2021 IEEE International Iot, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1–6 (2021). https://doi.org/10.1109/IEMTRONICS52119.2021.9422662
3. Ardimento, P., Bernardi, M.L., Cimitile, M., Maggi, F.M.: Evaluating coding behavior in software development processes: a process mining approach. In: 2019 IEEE/ACM International Conference on Software and System Processes (ICSSP), pp. 84–93 (2019). https://doi.org/10.1109/ICSSP.2019.00020
4. Augusto, A., Conforti, R., Dumas, M., La Rosa, M., Polyvyanyy, A.: Split miner: automated discovery of accurate and simple business process models from event logs. Knowl. Inf. Syst. 59(2), 251–284 (2019). https://doi.org/10.1007/s10115-018-1214-x
5. Bala, S., Mendling, J.: Monitoring the software development process with process mining. In: International Symposium on Business Modeling and Software Design, pp. 432–442 (2018). https://doi.org/10.1007/978-3-319-94214-8_34
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