论文标题
数字导师：迈向对话机器人，以识别软件初创企业的假设
Digital Mentor: towards a conversational bot to identify hypotheses for software startups
论文作者
论文摘要
软件初创公司开发创新，软件密集型产品和服务。此上下文会导致他们正在构建的软件的不确定性。实验是测试产品假设的过程，可以通过不同的基于证据的方法来减少不确定性。实验的第一步是确定要测试的假设。 HYMAP是一种技术，协助者可以帮助软件启动创始人绘制认知地图，以代表她对上下文的理解，并基于此绘制有关构建软件的假设。在本文中，我们介绍了数字导师，这是一种正在进行的对话机器人，可帮助创建赞美诗，而无需人工协助。我们报告了由Web应用程序组成的提议的解决方案，并以自然语言理解系统的后端，当前的发展状态，我们迄今为止面临的挑战以及我们计划前进的下一步步骤。
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.
