HyMap: eliciting hypotheses in early-stage software startups using
cognitive mapping
- URL: http://arxiv.org/abs/2102.09387v2
- Date: Sun, 9 Jan 2022 13:16:47 GMT
- Title: HyMap: eliciting hypotheses in early-stage software startups using
cognitive mapping
- Authors: Jorge Melegati, Eduardo Guerra, Xiaofeng Wang
- Abstract summary: We aim to develop a technique to identify hypotheses for early-stage software startups.
We developed the HyMap, a hypotheses elicitation technique based on cognitive mapping.
- Score: 10.60958748634425
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Context: Software startups develop innovative, software-intensive products.
Given the uncertainty associated with such an innovative context,
experimentation is a valuable approach for these companies, especially in the
early stages of the development, when implementing unnecessary features
represents a higher risk for companies' survival. Nevertheless, researchers
have argued that the lack of clearly defined practices led to limited adoption
of experimentation. In this regard, the first step is to define the hypotheses
based on which teams will create experiments. Objective: We aim to develop a
systematic technique to identify hypotheses for early-stage software startups.
Methods: We followed a Design Science approach consisted of three cycles in the
construction phase, that involved seven startups in total, and an evaluation of
the final artifact within three startups. Results: We developed the HyMap, a
hypotheses elicitation technique based on cognitive mapping. It consists of a
visual language to depict a cognitive map representing the founder's
understanding of the product, and a process to elicit this map consisted of a
series of questions the founder must answer. Our evaluation showed that the
artifacts are clear, easy to use, and useful leading to hypotheses and
facilitating founders to visualize their idea. Conclusion: Our study
contributes to both descriptive and prescriptive bodies of knowledge. Regarding
the first, it provides a better understanding of the guidance founders use to
develop their startups and, for the latter, a technique to identify hypotheses
in early-stage software startups.
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