Usage of agile methods for software development has increased in recent times. Rapid delivery of software products is ensured by these methods with less expense and high user gratification. Application of these methods on a large scale causes many De-Motivators or challenges as initially these methods were aimed at those developmental teams that worked on small scale. However, no effort has been made yet to hand out the various correlations among the challenges. To fill the space, the Interpretive Structural Model (ISM) approach is used to reconnoiter the correlations among the De-Motivators regarding Scaling Agile Software Development Methodologies (ASDM) from the management perspective. Creation of a framework for structural modeling association among the De-Motivators is the aim of this study. To attain the goal, a hybrid methodology was applied based on a Systematic literature review (SLR), empirical survey, and ISM. First, we pointed out 15 De-Motivators of Scaling ASDM from management perspectives through SLR study. Second, with the help of 59 experts from different countries, a questionnaire survey was conducted to empirically examine the correlations among the detected De-Motivators. Further, correlations among the challenges are discovered with the usage of ISM through review of the panel, and they accomplish the categorization through CrossImpact Matrix Multiplication Applied Approach.

中文翻译：

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一个框架，用于建模扩展敏捷的 De-Motivators 之间的结构关联

近年来，敏捷方法在软件开发中的使用有所增加。这些方法以较少的费用和较高的用户满意度确保了软件产品的快速交付。大规模应用这些方法会导致许多 De-Motivator 或挑战，因为最初这些方法针对的是那些小规模工作的开发团队。然而，尚未做出努力来说明挑战之间的各种相关性。为了填补空间，解释性结构模型 (ISM) 方法用于从管理角度重新考虑与扩展敏捷软件开发方法 (ASDM) 相关的去激励因素之间的相关性。本研究的目的是为 De-Motivators 之间的结构建模关联创建一个框架。为了达到目标，基于系统文献综述 (SLR)、实证调查和 ISM 应用了混合方法。首先，我们通过 SLR 研究从管理角度指出了扩展 ASDM 的 15 个去动机。其次，在来自不同国家的 59 位专家的帮助下，进行了问卷调查，以实证检验检测到的 De-Motivators 之间的相关性。此外，通过审查小组发现挑战之间的相关性与 ISM 的使用，并通过 CrossImpact 矩阵乘法应用方法完成分类。进行了问卷调查，以实证检验检测到的去激励因素之间的相关性。此外，通过审查小组发现挑战之间的相关性与 ISM 的使用，并通过 CrossImpact 矩阵乘法应用方法完成分类。进行了问卷调查，以实证检验检测到的去激励因素之间的相关性。此外，通过审查小组发现挑战之间的相关性与 ISM 的使用，并通过 CrossImpact 矩阵乘法应用方法完成分类。