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Free Antivirus Removal Tool 2023.071/17/2024 Our survey paper investigates the methods to measure the ground truth. Most existing survey papers only focus on classifying indoor positioning methods and datasets for evaluation. In recent years, data-driven methods have been actively proposed, making the ground-truth measurement even more critical. The selection of the ground-truth measurement method is crucial when appropriately evaluating the indoor positioning methods. Accordingly, various ground-truth measurement methods have also been used. Various types of indoor positioning methods have been proposed. Furthermore, we found that adding the license rules generated by our method to Ninka improves the licensing rule performance. As a result, we confirmed that our method successfully generated license rules that take into consideration the orthographical variants and that our method also efficiently identified licenses with a small number of license rules. We conducted conduct a case study where our method is applied to 1, 821, 3, 561 and 2, 838 unknown license statement files respectively collected from FreeBSD v10.3.0, Linux Kernel v4.4.6, and Debian v7.8.0, to confirm the usefulness of our method. Our approach further filters the license statements from the created clusters to extract sequential patterns and converts the extracted patterns into regular expressions. In this paper, we propose a method to automatically generate license rules from the clustered license statements. In our previous studies, we proposed a method for clustering license statements that Ninka determined to be unknown. However, when a large number of unknown licenses are detected in large OSS products, it is not easy to manually create new rules. Because OSS licenses are often newly created or inherited, rules built into license identification tools need to be created and updated on a regular basis. Ninka is one of the most accurate license identification tools. License identification tools automatically identify OSS licenses declared in source files. Many license identification tools have been proposed to support OSS reuse.
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