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Investigating Reputation in Collaborative Software Maintenance: A Study Based on Systematic Mapping

机译:调查协作软件维护的声誉:基于系统映射的研究

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[Background] Reputation systems have attracted the attention of researchers when it comes to collaborative systems. In the context of collaborative software maintenance, systems of this type are employed to facilitate the collection, aggregation and distribution of reputation information about a participant. GiveMe Infra is an infrastructure that supports collaborative software maintenance performed both by co-located and geographically distributed teams. In this last case, reputation is one of the factors that influence collaboration. Despite this recognized relevance, to the best of our knowledge, there is a shortage of tools providing reputation functionalities in the context of collaborative software maintenance. [Objective] However, GiveMe Infra needs to identify and correlate metrics, measures, criteria and factors (called parameters) that are used in defining the value of reputation of an entity. These parameters, used to determine the degree of reputation, can provide evidence of parameters to be used in the context of software maintenance and evolution. [Method] In order to achieve this goal, a systematic mapping was performed. Both the established protocol and the process adopted during the mapping are shown in this article. The parameters identified, as well as how to apply them in the context of software maintenance are demonstrated through an analysis scenario. [Results] Our goal has been achieved since the systematic mapping allowed the identification of the parameters used in defining reputation and even parameters that would not allow a correlation with the context of collaborative software maintenance. The contribution of this research is threefold, in its investigation carried out, the list of identified parameters and also the application in the collaborative software maintenance context.
机译:[背景]声望系统已经吸引了研究人员的注意,当涉及到协作系统。在协同软件维护的背景下,这种类型的系统是用来促进有关参与者的收集,汇总和信誉信息的分布。 GiveMe红外线是一种支持协同软件维护通过协同定位和地理上分散的团队进行两个基础设施。在后一种情况下,口碑是影响合作的因素之一。尽管如此认可的相关性,为我们所知的,还有的在协同软件维护方面提供信誉功能的工具短缺。 [目的]然而,GiveMe红外需要识别和关联度量,度量,标准,且在确定的实体的信誉值使用因子(称为参数)。这些参数,用于确定信誉度,可提供软件维护和进化的上下文中使用的参数证据。 [方法]为了实现这一目标,进行了系统的映射。两者建立的协议和在映射期间通过的过程被示出在这篇文章。以及如何在软件维护方面应用这些标识的参数,通过分析场景证明。 [结果]我们的目标一直以来,系统映射允许定义的声誉,甚至参数不会允许与协同软件维护方面的相关使用的参数的识别来实现的。这项研究的贡献有三个方面,在调查进行的,确定参数的清单,并在协同软件维护方面的应用。

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