{'fraction_non_alphanumeric': 0.01892744479495268, 'fraction_numerical': 0.006309148264984227, 'mean_word_length': 5.105769230769231, '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}}
Bridging the Research-Industry Gap: The Case for Domain Modeling

The points in this talk will be illustrated by many examples from the telecommunications and networking industry. This industry adopted computers in the 1960s, has been radically transformed by software technology several times, and is now in the midst of another such transformation. All of these recommendations may seem a bit unnecessary, as domain-specific research is becoming more common. I am simply hoping to reinforce these healthy trends, and also to emphasize the ever-present need for more powerful abstractions of the domains we are seeking to understand.