Evaluation of the OIRE Method in a Case Study
Huishi Yin, Dietmar Pfahl · 2019
To (semi-)automatically classify user needs 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 OIRE method. In this paper, we introduce the tool support for the OIRE method, OIRE-System (OIRE-S), and evaluate the OIRE method using OIRE-S. For that purpose, we conducted a case study with two Chinese companies using OIRE-S as tool support when applying the OIRE method. Based on the results of the case study, we conclude that the analysis results of the OIRE method provide valuable information for stakeholders and, thus, is useful to decision-makers in the industry, in particular as a complement to traditional requirement elicitation and analysis activities.