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Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development

机译:基于模糊的AHP基于AHP的软件过程改进成功因子的优先级和分类

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摘要

The phenomena of global software development (GSD) face many challenges that are specifically associated with software process improvement (SPI). The main objective of this work is to develop the prioritization-based taxonomy of the SPI success factors using the fuzzy AHP approach. Total of twenty-one factors were extracted from the available literature that were further evaluated by conducting questionnaire survey with the SPI experts. In the second stage, multi-criterion decision making (MCDM) fuzzy AHP tool was used to prioritize and develop the taxonomy of the identified factors and their categories. The implications of fuzzy AHP approach are novel in this research area as it has been successfully used previously in different other domains e.g. electrical and electronics, supplier selection, agile software development and personnel selection. The contribution of this study is not only limited to the development of the factor's taxonomy, but also their proper prioritization by introducing the novel fuzzy AHP approach in the research field of GSD and SPI, which assist to remove the vagueness and uncertainty in the opinion of the process improvement experts. (C) 2019 Elsevier B.V. All rights reserved.
机译:全球软件开发(GSD)的现象面临许多与软件过程改进(SPI)有关的挑战。这项工作的主要目标是利用模糊AHP方法制定SPI成功因素的优先级分类。通过使用SPI专家进行问卷调查,从可用文献中提取了二十一根因素的总和。在第二阶段,多标准决策(MCDM)模糊AHP工具用于优先考虑并开发所确定的因素及其类别的分类。模糊AHP方法的含义在本研究领域是新颖的,因为它已经成功地在不同的其他域中使用了。电气和电子,供应商选择,敏捷软件开发和人员选择。本研究的贡献不仅限于该因子分类的发展,而且还通过在GSD和SPI研究领域引入新的模糊AHP方法来施加正确的优先考虑,这有助于消除含糊不清和不确定性过程改进专家。 (c)2019年Elsevier B.V.保留所有权利。

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