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Implementation of end-user development success factors in mashup development environments

机译:在mashup开发环境中实现最终用户开发成功因素

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The Future Internet is expected to be composed of a mesh of interoperable web services accessed from all over the Web. This approach has been supported by many software providers who have provided a wide range of mash up tools for creating composite applications based on components prepared by the respective provider. These tools aim to achieve the end-user development (EUD) of rich internet applications (RIA); however, most, having failed to meet the needs of end users without programming knowledge, have been unsuccessful. Thus, many studies have investigated success factors in order to propose scales of success factor objectives and assess the adequacy of mashup tools for their purpose. After reviewing much of the available literature, this paper proposes a new success factor scale based on human factors, human-computer interaction (HCI) factors and the specialization-functionality relationship. It brings together all these factors, offering a general conception of EUD success factors. The proposed scale was applied in an empirical study on current EUD tools, which found that today's EUD tools have many shortcomings. In order to achieve an acceptable success rate among end users, we then designed a mashup tool architecture, called FAST-Wirecloud, which was built taking into account the proposed EUD success factor scale. The results of a new empirical study carried out using this tool have demonstrated that users are better able to successfully develop their composite applications and that FAST-Wirecloud has scored higher than all the other tools under study on all scales of measurement, and particularly on the scale proposed in this paper.
机译:未来的Internet有望由可从整个Web访问的可互操作的Web服务网格组成。许多软件供应商都支持这种方法,这些软件供应商提供了各种混搭工具,用于根据各个提供商准备的组件来创建复合应用程序。这些工具旨在实现富互联网应用程序(RIA)的最终用户开发(EUD);但是,大多数人没有编程知识就无法满足最终用户的需求,但都没有成功。因此,许多研究已经对成功因素进行了研究,以提出成功因素目标的规模并评估混搭工具对其目的的适用性。在回顾了许多现有文献之后,本文基于人为因素,人机交互(HCI)因素和专业化功能关系,提出了一个新的成功因素量表。它汇集了所有这些因素,提供了EUD成功因素的一般概念。拟议的量表被用于对当前EUD工具的实证研究中,该研究发现当今的EUD工具存在许多缺陷。为了在最终用户中获得可接受的成功率,我们然后设计了一个称为FAST-Wirecloud的混搭工具架构,该架构是在考虑了拟议的EUD成功因素量表的基础上构建的。使用此工具进行的新的经验研究的结果表明,用户能够更好地成功开发其复合应用程序,并且FAST-Wirecloud在所有测量规模(尤其是在测量范围上)的得分均高于研究中的所有其他工具。本文提出的规模。

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