Details

Autor(en) / Beteiligte

• Deokuliar, Harsh
• Sangwan, Raghvinder S.
• Badr, Youakim
• Srinivasan, Satish M.

Titel

Improving Testing of Deep-learning Systems: A combination of differential and mutation testing results in better test data

Ist Teil von

• ACM queue, 2023-10, Vol.21 (5), p.54-65

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2023

Quelle

ACM Digital Library

Beschreibungen/Notizen

• We used differential testing to generate test data to improve diversity of data points in the test dataset and then used mutation testing to check the quality of the test data in terms of diversity. Combining differential and mutation testing in this fashion improves mutation score, a test data quality metric, indicating overall improvement in testing effectiveness and quality of the test data when testing deep learning systems.