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A requirement mining framework to support complex sub-systems suppliers

机译：支持复杂子系统供应商的需求挖掘框架

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The design of engineered socio-technical systems relies on a value chain within which suppliers must cope with larger and larger sets of requirements. Although 70 % of the total life cycle cost is committed during the concept phase and most industrial projects originally fail due to poor requirements engineering [1], very few methods and tools exist to support suppliers. In this paper, we propose to methodologically integrate data science techniques into a collaborative requirement mining framework to enable suppliers to gain insight and discover opportunities in a massive set of requirements. The proposed workflow is a five-activity process including: (1) the extraction of requirements from documents and (2) the analysis of their quality by using natural language processing techniques; (3) the segmentation of requirements into communities using text mining and graph theory; (4) the collaborative and multidisciplinary estimation of decision making criteria; and (5) the reporting of estimations with an analytical dashboard of statistical indicators. We conclude that the methodological integration of data science techniques is an effective way to gain insight from hundreds or thousands of requirements before making informed decisions early on. The software prototype that supports our workflow is a JAVA web application developed on top of a graph-oriented data model implemented with the NoSQL NEO4J graph database. As a future work, the semi-structured as-required baseline could be a sound input to feed a formal approach, such as model- and simulation-based systems engineering.
机译：工程社会技术系统的设计依赖于价值链，供应商必须在该价值链中应对越来越多的要求。尽管整个生命周期成本的70％是在概念阶段投入的，并且大多数工业项目最初都是由于需求不佳的工程而失败[1]，但很少有方法和工具可以支持供应商。在本文中，我们建议将方法科学地将数据科学技术集成到协作需求挖掘框架中，以使供应商能够洞察并发现大量需求中的机会。拟议的工作流程是一个五项活动的过程，包括：（1）从文档中提取需求;（2）使用自然语言处理技术对其质量进行分析;以及（3）使用文本挖掘和图论将需求划分为社区; （4）协作和多学科的决策标准评估; （5）用统计指标的分析仪表板报告估计。我们得出结论，在尽早做出明智的决策之前，数据科学技术的方法学集成是从成百上千的需求中获得洞察力的有效方法。支持我们工作流程的软件原型是一个JAVA Web应用程序，它是在使用NoSQL NEO4J图形数据库实现的基于图形的数据模型的基础上开发的。作为将来的工作，半结构化的按需基线可能是合理的输入，可以提供正式的方法，例如基于模型和基于仿真的系统工程。

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