Extracting conceptual interoperability constraints from API documentation using machine learning

Author:

Abukwaik Hadil1,Abujayyab Mohammed1,Humayoun Shah Rukh1,Rombach Dieter1

Affiliation:

1. University of Kaiserslautern, Kaiserslautern, Germany

Funder

University of Kaiserslautern

Publisher

ACM

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Re-orienting Toward the Science of the Artificial: Engineering AI Systems;Systems Engineering and Artificial Intelligence;2021

2. Using software testing to repair models;Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2019-08-12

3. Using Testing to Repair Models;2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST);2019-04

4. A process for fault-driven repair of constraints among features;Proceedings of the 23rd International Systems and Software Product Line Conference volume B - SPLC '19;2019

5. Towards Seamless Analysis of Software Interoperability: Automatic Identification of Conceptual Constraints in API Documentation;Software Architecture;2016

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