{'fraction_non_alphanumeric': 0.021341463414634148, 'fraction_numerical': 0.0, 'mean_word_length': 5.314102564102564, '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}}
A dynamic approach for retrieval of software components using genetic algorithm

Software reuse is one of the major research area in component based software engineering (CBSE). It is an area which integrates all the other technical areas like data mining, soft computing, artificial intelligence etc. The major areas which are to be focused in software reuse are classification, clustering, searching, indexing and retrieval of software components. There are many techniques described in literature each with their advantages and limitations. In this paper, we propose a dynamic approach where the components are retrieved by using genetic algorithm. The proposed algorithm mainly focuses on the termination condition or stopping criteria of Genetic Algorithm, which changes dynamically based on the user query. Genetic Algorithm (GA) stops the evolution i.e., reaches convergence when the average fitness value of the population becomes equal to the fitness value of the user query.