Toward ontology‐based risk management framework for software projects: An empirical study,Journal of Software: Evolution and Process

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Toward ontology‐based risk management framework for software projects: An empirical study
Journal of Software: Evolution and Process ( IF 1.7 ) Pub Date : 2020-06-24 , DOI: 10.1002/smr.2269
Temitope Elizabeth Abioye ₁ , Oluwasefunmi Tale Arogundade ₁ , Sanjay Misra _{2,

3} , Adio T. Akinwale ₁ , Olusola John Adeniran ₄

Affiliation

Software risk management is a proactive decision‐making practice with processes, methods, and tools for managing risks in a software project. Many existing techniques for software project risk management are textual documentation with varying perspectives that are nonreusable and cannot be shared. In this paper, a life‐cycle approach to ontology‐based risk management framework for software projects is presented. A dataset from literature, domain experts, and practitioners is used. The identified risks are refined by 19 software experts; risks are conceptualized, modeled, and developed using Protégé. The risks are qualitatively analyzed and prioritized, and aversion methods are provided. The framework is adopted in real‐life software projects. Precision recall and F‐measure metrics are used to validate the performance of the extraction tool while performance and perception evaluation are carried out using the performance appraisal form and technology acceptance model, respectively. Mean scores from performance and perception evaluation are compared with evaluation concept scale. Results showed that cost is reduced, high‐quality projects are delivered on time, and software developers found this framework a potent tool needed for their day‐to‐day activities in software development.

中文翻译：

面向基于本体的软件项目风险管理框架：实证研究

软件风险管理是一种主动决策实践，具有用于管理软件项目风险的过程、方法和工具。许多现有的软件项目风险管理技术都是具有不同视角的文本文档，不可重用且无法共享。在本文中，提出了一种基于本体的软件项目风险管理框架的生命周期方法。使用来自文献、领域专家和从业者的数据集。识别出的风险由19位软件专家细化；使用 Protégé 对风险进行概念化、建模和开发。对风险进行定性分析和优先排序，并提供规避方法。该框架在现实生活中的软件项目中被采用。精确召回和F-measure指标用于验证提取工具的性能，而性能和感知评估分别使用性能评估表和技术接受模型进行。将绩效和感知评估的平均分数与评估概念量表进行比较。结果表明，成本降低了，高质量的项目按时交付，软件开发人员发现这个框架是他们日常软件开发活动所需的有效工具。

更新日期：2020-06-24

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