{'fraction_non_alphanumeric': 0.025150905432595575, 'fraction_numerical': 0.0, 'mean_word_length': 5.419354838709677, '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 adaptive dependability model of component-based software

With the advancement and widespread use of object-oriented system design and web-based development, the use of CBSD (Component-Based Software Development) is on the rise. Software systems are being developed in a heterogeneous fashion using components developed in-house, or picked off-the-shelf, and hence it may be inappropriate to model and evaluate such systems on using traditional tools. We proposed an integrated and adaptive approach, which takes into account the diversity of dependability requirements, to model the dependability, the most important aspect of evaluation, of a heterogeneous software system based on its architecture and the failure behavior of its components. The basic constituent of our approach is BBNs (Bayesian Belief Networks), which are by far the best model that can handle integration of variables of process and product, relationships of genuine cause and effect, and other uncertain information.