Web API evolution patterns: A usage-driven approach

Author:

Koçi RedianaORCID,Franch XavierORCID,Jovanovic PetarORCID,Abelló AlbertoORCID

Funder

Gobierno de España Ministerio de Ciencia e Innovación

Mind Science Foundation

Elettra-Sincrotrone Trieste

World Health Organization

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference37 articles.

1. A data-driven approach to improve the process of data-intensive API creation and evolution;Abelló,2017

2. Agrawal, Rakesh, Imieliński, Tomasz, Swami, Arun, 1993. Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data. pp. 207–216.

3. Abstractions in process mining: A taxonomy of patterns;Bose,2009

4. Mining frequent patterns in process models;Chapela-Campa;Inform. Sci.,2019

5. Doerrfeld, Bill, 2018. 10+ API Monitoring Tools. Available: https://nordicapis.com/10-api-monitoring-tools.

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