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Correlations study and clustering from SPI experiences in small settings

机译:在小型环境中从SPI经验进行相关性研究和聚类

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Software Process Improvement (SPI) initiatives have been applied in a wide set of organisations including very small entities (VSE). In fact, this kind of organisations is facing several hurdles when overarching a SPI initiative. In this context, the ISO/IEC 29110 has been used as a lightweight reference model for steering VSEs in their SPI initiatives. The inherent uncertainty behind the SPI curtains blocks the organisations in their investments. Due to these reasons, we need to identify relationships and similarities in order to predict whether a SPI will succeed or not. We propose the use of Self-Organising Maps for identifying patterns from these SPI studies. The aim of this paper is to identify correlations among SPI studies and to discover patterns from them.
机译:软件过程改进(SPI)计划已在包括小型实体(VSE)在内的许多组织中得到应用。实际上,在组织SPI计划时,此类组织面临多个障碍。在这种情况下,ISO / IEC 29110已被用作指导VSE的SPI计划的轻量级参考模型。 SPI窗帘背后的内在不确定性阻碍了组织的投资。由于这些原因,我们需要确定关系和相似性,以预测SPI是否成功。我们建议使用自组织映射从这些SPI研究中识别模式。本文的目的是确定SPI研究之间的相关性,并从中发现模式。

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