数字导师:为软件初创公司提供对话机器人识别假设

Jorge Melegati, Xiaofeng Wang
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引用次数: 1

摘要

软件初创公司开发创新的软件密集型产品和服务。这种环境导致了他们正在构建的软件的不确定性。实验是对产品假设进行检验的过程,通过不同的循证方法帮助这些公司减少不确定性。实验的第一步是确定要检验的假设。HyMap是一种技术,在这种技术中,引导者帮助软件初创公司的创始人绘制一幅认知地图,代表她对环境的理解,并在此基础上对要构建的软件创建假设。在本文中,我们介绍了Digital Mentor,这是一个正在进行的会话机器人,可以帮助创建HyMap,而无需人工辅助。我们报告了建议的解决方案,包括一个带有自然语言理解系统后端的web应用程序,目前的发展状态,我们目前面临的挑战以及我们计划向前推进的下一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Mentor: towards a conversational bot to identify hypotheses for software startups
Software startups develop innovative, software-intensive product and services. This context leads to uncertainty regarding the software they are building. Experimentation, a process of testing hypotheses about the product, helps these companies to reduce uncertainty through different evidence-based approaches. The first step in experimentation is to identify the hypotheses to be tested. HyMap is a technique where a facilitator helps a software startup founder to draw a cognitive map representing her understanding of the context and, based on that, create hypotheses about the software to be built. In this paper, we present the Digital Mentor, an working-in-progress conversational bot to help creating a HyMap without the need of a human facilitator. We report the proposed solution consisting of a web application with the backend of a natural language understanding system, the current state of development, the challenges we faced so far and the next steps we plan to move forward.
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