2026-10-07T03:03:34Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34023936 2026-09-29T13:54:04Z category_29203 category_29200 category_29197 item_type_3 month_year_09_2026

DNose Validation Dataset: Controlled Dataset for Dart/Flutter Test Smell Detectors ERONILDO JOSE DA SILVA JUNIOR (24322754) Software engineering not elsewhere classified Software testing, verification and validation Software quality, processes and metrics Test smells Dart Flutter DNose Test Code Quality Static Analysis Software Testing <p dir="ltr">Controlled dataset, raw data and scripts used to evaluate the 11 test smell detectors added to DNose, a static analysis tool for Dart and Flutter test suites. Contents: 242 Dart test files (121 positive, 121 negative; 1,453 test cases) covering 11 smells, sampled from 4,144 open-source projects (222 real, 20 synthetic); ground-truth labels; DNose raw output; per-file outcomes; metrics (macro P = 1.000, R = 0.909, F1 = 0.939 at DNose revision 6397894); scripts to rebuild the dataset and reproduce the evaluation with one command. Requirements: Dart SDK ≥ 3.7, Python ≥ 3.8. Real test files are unmodified copies and remain under their original licenses (see labels.csv). See README.md.</p> 2026-09-29T13:54:04Z Dataset Dataset 10.6084/m9.figshare.34023936.v1 https://figshare.com/articles/dataset/DNose_Validation_Dataset_Controlled_Dataset_for_Dart_Flutter_Test_Smell_Detectors/34023936 CC BY 4.0