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Application of the OIRE method—tool support and initial feedback from two chinese companies
by
Yin Huishi
, Pfahl Dietmar
in
Applications programs
/ Case studies
/ Decision making
/ Software engineering
2021
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Application of the OIRE method—tool support and initial feedback from two chinese companies
by
Yin Huishi
, Pfahl Dietmar
in
Applications programs
/ Case studies
/ Decision making
/ Software engineering
2021
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Application of the OIRE method—tool support and initial feedback from two chinese companies
Journal Article
Application of the OIRE method—tool support and initial feedback from two chinese companies
2021
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Overview
To (semi-)automatically classify user needs that are collected from online open sources, we propose the Open Innovation in Requirements Engineering (OIRE) method. OIRE is mimicking the well-known Kano model exclusively using data from online reviews instead of conducting interviews with select focus groups. In our previous research, we introduced the design, implementation and preliminary validation of the applicability of the OIRE method. In this article, we introduce the tool support for the OIRE method, OIRE-System (OIRE-S), and evaluate the usefulness of the OIRE method using OIRE-S in an industry setting. For that purpose, we conducted one case study with two Chinese companies that plan to have software apps developed by suppliers. In addition, we conducted interviews about the case study with two addition stakeholders. Based on the analysis results of the case study and the interview study, we conclude that the OIRE method provides helpful information for stakeholders and, thus, is useful to decision-makers in industry, in particular as a complement to existing requirements elicitation and analysis activities.
Publisher
Springer Nature B.V
Subject
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