Evolution of Web Application Programming Interfaces: Driving Forces, Effects on Clients, and Patterns for Providers-Reference-Cited by-同舟云学术

Evolution of Web Application Programming Interfaces: Driving Forces, Effects on Clients, and Patterns for Providers

Published:2023-08-26 Issue:4 Volume:45 Page:61-77
ISSN:0204-3572
Container-title:Èlektronnoe modelirovanie
language:
Short-container-title:Èlektron. model.

Author:

Puchko T.V.,

Abstract

The current state of research on finding effective methods of maintaining compatibility between providers of web application programming interfaces and their clients is described. Reasons and types of changes in the web application programming interfaces, effects of the chan¬ges on the clients, patterns for developers, adaptation methods, and regression testing are reviewed.

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)

Reference24 articles.

1. Raatikainen, M., Kettunen, E., Salonen, A., Komssi, M., Mikkonen, T., & Lehtonen, T. (2022). State of the practice in application programming interfaces (APIs): A case study. In S. Biffl, E. Navarro, W. Löwe, M. Sirjani, R. Mirandola, & D. Weyns (Eds.), Software architecture: 15th European conference, ECSA 2021, virtual event, Sweden, September 13-17, 2021, proceedings. LNCS 12857 (p. 191-206). Springer. https://doi.org/10.1007/978-3-030-86044-8_14

2. Bonorden, L., & Riebisch, M. (2022). API deprecation: A systematic mapping study. In 2022 48th euromicro conference on software engineering and advanced applications (SEAA) (p. 451-458). IEEE. https://doi.org/10.1109/seaa56994.2022.00076

3. Lübke, D., Zimmermann, O., Pautasso, C., Zdun, U., & Stocker, M. (2019). Interface evolution patterns: Balancing compatibility and extensibility across service life cycles. In EuroPLop '19: Proceedings of the 24th European conference on pattern languages of programs. ACM Press. https://doi.org/10.1145/3361149.3361164.

4. Koçi, R., Franch, X., Jovanovic, P., & Abelló, A. (2019). Classification of changes in API evolution. In 2019 IEEE 23rd international enterprise distributed object computing conference (EDOC) (p. 243-249). IEEE. https://doi.org/10.1109/edoc.2019.00037.

5. Godefroid, P., Lehmann, D., & Polishchuk, M. (2020). Differential regression testing for REST APIs. In ISSTA 2020: Proceedings of the 29th ACM SIGSOFT international symposium on software testing and analysis (p. 312-323). ACM. https://doi.org/10.1145/3397374.