Empirical Study of Mis-classification Testing in Open Source Supervised Learning Projects using 278 Python-based open-source software projects that use supervised learning
This is supplemental data to the report submitted for the practicum course - “Advanced Testing of Deep Learning Models - Towards Robust AI” which was conducted in collaboration with fortiss GmbH. Rep
This is the supplementary material of the paper entitled Online Testing of RESTful APIs: Promises and Challenges . NOTE: An online easier-to-navigate version of this supplementary mate
Adherence to a defined process or standards is necessary to achieve satisfactory software quality. However, in order to judge whether practices are effective at achieving the required integrity of a s
