{'fraction_non_alphanumeric': 0.01647058823529412, 'fraction_numerical': 0.0, 'mean_word_length': 5.862903225806452, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Expert Recommender System to Distributed Software Development: Requirements, Project and Preliminary Results

In distributed software development, geographical and temporal distances turn communication inefficient and affect the various team’s perceptions levels – proximity, activity, awareness, process and perspective. The low level of perception turns the task of expert location hard and not being able to quickly locate the experts in the source code during the implementation makes the project slower, consequently delaying its schedule. This paper proposes Presley, a tool to reduce these delays through identification and recommendation of experts in some areas of the source code using the project communication, decreasing the waiting time for help. We also present preliminary results which show the practical potential of our approach