English

Digital Mentor: towards a conversational bot to identify hypotheses for software startups

Software Engineering 2022-04-04 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2204.00455,
  title  = {Digital Mentor: towards a conversational bot to identify hypotheses for software startups},
  author = {Jorge Melegati and Xiaofeng Wang},
  journal= {arXiv preprint arXiv:2204.00455},
  year   = {2022}
}

Comments

4 pages, 2 figures, accepted for presentation at 4th International Workshop on Bots in Software Engineering (BotSE 2022)

R2 v1 2026-06-24T10:34:43.968Z