Software metrics have a fundamental role in the process of software quality management. However, in most cases, they are only used to quantify attributes, not supporting decision-making during the software life cycle. To support decision-making, it is necessary to give them by defining thresholds. In the literature, several approaches have been proposed with this purpose. On the other hand, most of them do not consider context factors such as the domain. Given this, in this paper, we evaluate if context factors influence the definition of thresholds for software metrics. Our work is restricted to Chidamber and Kemerer metrics, due to availability of data. We conducted an empirical study composed of two quasi-experiments. Each quasi-experiment uses an approach presented in the literature to define thresholds for software metrics, with the defined thresholds as the dependent variable. As the factor, we used a variable with two possible treatments: to consider the context or not. To define context, we used factors presented in the literature. As the objects of study, we used the source code of fifteen Java-based open-source projects. For measurement purposes, we used the six original Chidamber and Kemerer metrics. For both quasi-experiments, the accuracy of the definition of thresholds improved by considering the context. Therefore, we concluded that context factors influence the definition of the threshold for Chidamber and Kemerer metrics, which is an indicator that it influences other software metrics.

Medical Cyber-Physical Systems (MCPS) integrate the cyber space and physical world elements for promoting support for health assurance activities. MCPS are life-critical systems, demanding a strong engineering effort to guarantee safety, what directly impacts on testing process. Testing MCPS using real patients is very expensive and complex, since their lives are involved. Thus, the use of patient synthetic data becomes a promising approach. In this paper we propose a model for improving accuracy of patient synthetic data for testing MCPS based on regression models. We use an existing Patient Baseline Model to generate vital signs of patients, but improving the statistical analysis. Using our approach we increased in about 73.9% the quality of the regression models and, consequently, their accuracies.

ResumoEste artigo trata da transformação urbana da cidade do Rio de Janeiro entre as últimas décadas do século XIX e a primeira do XX, destacando o processo de desruralização que se efetua em paralelo. Procuro evidenciar que tal processo marcaria no contexto urbano e suburbano carioca a consolidação da lógica de mercado sobre dois elementos essenciais de uma sociedade: a terra e as necessidades básicas de reprodução de sua população (satisfeitas por meio da obtenção de gêneros alimentícios, principalmente). Para tanto, desenvolvo a análise tendo em vista a chave de leitura possibilitada pelo conceito de metabolismo social.Palavras-chave: relação urbano-rural; Rio de Janeiro; metabolismo social. INTRODUÇÃONuma bela análise do possível legado do pensamento marxista para a crítica ecológica moderna, Michael Löwy defende, entre outros pontos, que "a crítica do capitalismo de Marx e Engels é o fundamento indispensável de uma perspectiva ecológica radical".2 Isso se deve fundamentalmente à crítica realizada por Marx a um dos princípios estruturantes do produtivismo capitalista, que pode ser melhor traduzido pela "teoria da ruptura do metabolismo entre as sociedades humanas e a natureza" que tem lugar nesse modo de produção econômica. 3 Em termos concretos isto quer dizer que o capitalismo instaura uma ruptura no sistema de trocas materiais entre o homem e o meio ambiente, com claro prejuízo para