Abstract
Many OSS are useful for many software engineers and general users around the world. However, there is no established standard method of quality/reliability assessment for OSS. The bug tracking system is well known as the useful system for quality improvement of OSS. The bug tracking system is implemented in various open source projects in recent years. Also, various fault data sets are registered on the database of bug tracking system.
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Tamura, Y., Yamada, S. (2024). Deep Learning Method Based on Fault Big Data Analysis for OSS Reliability Assessment. In: Applied OSS Reliability Assessment Modeling, AI and Tools. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-64803-8_8
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DOI: https://doi.org/10.1007/978-3-031-64803-8_8
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