تقرير
Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects
| العنوان: | Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects |
|---|---|
| المؤلفون: | Ali, Qurban, Riganelli, Oliviero, Mariani, Leonardo |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Software Engineering |
| الوصف: | In the ever-evolving field of Deep Learning (DL), ensuring project quality and reliability remains a crucial challenge. This research investigates testing practices within DL projects in GitHub. It quantifies the adoption of testing methodologies, focusing on aspects like test automation, the types of tests (e.g., unit, integration, and system), test suite growth rate, and evolution of testing practices across different project versions. We analyze a subset of 300 carefully selected repositories based on quantitative and qualitative criteria. This study reports insights on the prevalence of testing practices in DL projects within the open-source community. Comment: 11 pages, 3 figures, The 24th IEEE International Conference on Software Quality, Reliability, and Security (QRS) 2024 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2405.19976 |
| رقم الأكسشن: | edsarx.2405.19976 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |