Datasets CK metrics of native mobile Android apps types of FM, MSG, MIX

Presented files:Src_samples_estimate_LOC_Android_Java_FM_MSG_MIX.ods - main train and test samples. The samples consists of the numerical values of the metrics of the number of rows of code (LOC), the number of classes (NC), and six metrics from the set of Chidamber and Kemerer (CK-metrics). Metrics description: LOC - Number of Lines of Code, NC - Number of Classes, NoM - Number of Methods, DIT - Depth of Inheritance Tree, WMC - Weighted Methods per Class, RFC - Response For a Class, CBO - Coupling Between Object Classes, NOC - Number of Children, LCOM - Lack of Cohesion in Methods. Each numeric metric value presented in the dataset represents a total for the entire Android app. Additional columns: n - number of application, url - part URL in GitHub source code hosting in format `user/repository`, It is important to note that the presented numerical values of the metrics mainly were obtained in July 2025 and some data added in June 2026. The numerical values of all the metrics presented above were obtained using the static analysis tool CK (https://github.com/mauricioaniche/ck) version 0.7. All applications linked to GitHub repositories belong exclusively to their respective authors. My role as a researcher was limited to obtaining the numerical values of the CK metrics in an ODS file.