Doença Policística Hepática associada a Doença Policística Renal Autossômica Dominante: relato de caso - gravidade de doença hepática e revisão de literatura

A doença renal policística é uma doença de caráter genético hereditário, sendo um importante causa de doença renal crônica terminal com necessidade de Terapia de Substituição Renal (TSR). Além da clássica doença renal crônica a DRPAD pode apresentar várias manifestações extra-renais, entre elas, a doença cística hepática que acomete cerca de 90% dos pacientes. Infecções dos cistos hepáticos são complicações raras, porém graves. Neste artigo iremos apresentar um caso clínico com acometimento cístico hepático e renal maciço, além de uma breve revisão sobre complicações e possibilidades terapêuticas

The effect of automatic concern mapping strategies on conceptual cohesion measurement

Context: Cohesion has been recognized as an important quality attribute of software design across decades. It can be defined as the degree to which a module is focused on a single concern of software. A concern is any concept, feature, requirement or property of the problem or solution domain. Conceptual cohesion is an alternative way of cohesion measurement based on what concerns each module addresses. Therefore, adopting a strategy to map concerns to source code elements is challenging but necessary. Objective: We aim at providing empirical evidence about whether automatic concern mapping strategies are already ready to be used effectively for conceptual cohesion measurement. Method: We carried out an empirical study to assess the ability of conceptual cohesion measurement using different automatic concern mapping strategies in selecting the least cohesive modules. Results: Conceptual cohesion measurements over the two analyzed mapping strategies performed weakly in the ability of selecting the least cohesive modules. We then provide a discussion to explain the reasons. Conclusion: Concern mapping strategies should be carefully chosen for conceptual cohesion measure- ment, specially if automatic mapping is under consideration. Manual mapping is still the most reliable way for computing conceptual cohesion. We pointed out limitations in automatic mapping strategies that go beyond conceptual cohesion measurement purposes and which should be considered in future research or applications in industry.Alberta, Canad