GLIB: image dataset

data/images:

data/images/Base : 132 screenshots of game1 & game2 with UI display issues from 466 test reports. data/images/Code : 9,412 screenshots of game1 & game2 with UI display issues generated by our Code augmentation method. data/images/Normal: 7,750 screenshots of game1 & game2 without UI display issues collected by randomly traversing the game scene. data/images/Rule(F) : 7,750 screenshots of game1 & game2 with UI display issues generated by our Rule(F) augmentation method. data/images/Rule(R) : 7,750 screenshots of game1 & game2 with UI display issues generated by our Rule(R) augmentation method. data/images/testDataSet : 192 screenshots with UI display issues from 466 test reports(exclude game1 & game2).

data/data_csv:

data/data_csv/Base : dataset for baseline method. data/data_csv/Code : dataset for our Code Augmentation method. data/data_csv/Rule(F) : dataset for our Rule(F) Augmentation method. data/data_csv/Rule(R) : dataset for our Rule(R) Augmentation method. data/data_csv/Code_plus_Rule(F) : dataset for our Code&Rule(F) Augmentation method. data/data_csv/Code_plus_Rule(R) : dataset for our Code&Rule(R) Augmentation method. data/data_csv/testDataSet : test dataset(normal image and real glitch images from 466 test reports).