{'fraction_non_alphanumeric': 0.0136986301369863, 'fraction_numerical': 0.0, 'mean_word_length': 4.885057471264368, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Towards Visual Software Analytics

Since its inception, a large amount of software has been written in Java and surprisingly little is known about the structure of Java programs in the wild. There are very few software visualization tools for analytical reasoning of Java software. We are creating a visual software analytics tool that will help to characterize a corpus of Java software. Our tool will help to provide insight into a collection of Java programs, confirm the expected, and expose the unexpected.