{'fraction_non_alphanumeric': 0.021994134897360705, 'fraction_numerical': 0.0, 'mean_word_length': 5.383177570093458, '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}}
Opportunism and Diversity in Automated Software Test Data Generation

We report on GADGET, a new software test generation system that uses combinatorial optimization to obtain condition/decision coverage of C/C++ programs. The GADGET system is fully automatic and supports all C/C++ language constructs. This allows us to generate tests for larger programs than those previously reported in the literature. We address a number of issues that are encountered when automatically generating tests for larger software systems. These issues have not been discussed in earlier work on test-data generation, which concentrated on small programs written in restricted programming languages.