Abstract-Norms have become a promising mechanism to ensure that open multi-agent systems (MASs) produce a desirable social outcome. MASs can be defined as societies in which autonomous agents work to achieve both societal and individual goals. Norms regulate the behavior of agents by defining permissions, obligations and prohibitions, as well as encouraging and discouraging the fulfillment of norms through rewards and punishments mechanisms. Once the priority of software agent is the satisfaction of its own desires and goals, each agent must evaluate the effects associated to the fulfillment or violation of one or more norms before choosing which one should be complied. This paper introduces a framework for normative MASs simulation that provides mechanisms for understanding the impact of norms on an agent and the society to which an agent belongs.
Code anomalies are symptoms of software maintainability problems, particularly harmful when contributing to architectural degradation. Despite the existence of many automated techniques for code anomaly detection, identifying the code anomalies that are more likely to cause architecture problems remains a challenging task. Even when there is tool support for detecting code anomalies, developers often invest a considerable amount of time refactoring those that are not related to architectural problems. In this paper we present and evaluate four different heuristics for helping developers to prioritize code anomalies, based on their potential contribution to the software architecture degradation. Those heuristics exploit different characteristics of a software project, such as change-density and error-density, for automatically ranking code elements that should be refactored more promptly according to their potential architectural relevance. Our evaluation revealed that software maintainers could benefit from the recommended rankings for identifying which code anomalies are harming architecture the most, helping them to invest their refactoring efforts into solving architecturally relevant problems.
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