Deep learning applications become increasingly popular in important domains such as self- driving systems and facial identity systems. Defective deep learning applications may lead to …
A Neumann, N Laranjeiro… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Businesses are increasingly deploying their services on the web, in the form of web applications, SOAP services, message-based services, and, more recently, REST services …
Deep learning has gained substantial popularity in recent years. Developers mainly rely on libraries and tools to add deep learning capabilities to their software. What kinds of bugs are …
P Godefroid, D Lehmann, M Polishchuk - Proceedings of the 29th ACM …, 2020 - dl.acm.org
Cloud services are programmatically accessed through REST APIs. Since REST APIs are constantly evolving, an important problem is how to prevent breaking changes of APIs, while …
As the use of Application Programming Interfaces (APIs) is increasingly growing, their evolution becomes more challenging in terms of the service provided according to …
When applications are integrated using web APIs, changes on a web API may break the dependent applications. This problem exists because old versions of the APIs may no longer …
Interoperability is accepted as a fundamental necessity for the successful realization of Healthcare Information Systems. It can be achieved by utilizing consistent standards …
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by means of …
S Wang, I Keivanloo, Y Zou - … , ICSOC 2014, Paris, France, November 3-6 …, 2014 - Springer
With the rapid adoption of REpresentational State Transfer (REST), more software organizations expose their applications as RESTful web APIs and client code developers …