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Conference Papers Year : 2023

Enhancing Requirements Elicitation through App Stores Mining: Health Monitoring App Case Study

Jialiang Wei

Abstract

Traditional requirements engineering methods typically involve interviews, observations, and questionnaires administered to stakeholders. Our hypothesis posits that this integral process can be significantly accelerated, and even enhanced, through strategic mining of app stores. App stores, such as Google Play and Apple Store, host millions of applications, making it likely to identify apps with features similar to the ones we intend to develop. These apps provide a wealth of information, including app descriptions, app reviews, and user interfaces. However, due to the vast quantity of apps, manual analysis of this information can be labor-intensive. To bridge this gap, our research aims to develop an approach called ReqRec for mining app stores, which will reduce the effort required by requirements engineers during the phase of requirements elicitation. To demonstrate the effectiveness of ReqRec, it will be applied to a case study involving the designing of a health monitoring application.
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Dates and versions

hal-04226910 , version 1 (03-10-2023)

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Jialiang Wei. Enhancing Requirements Elicitation through App Stores Mining: Health Monitoring App Case Study. RE 2023 Doctoral Symposium - IEEE 31st International Requirements Engineering Conference, Sep 2023, Hannover, Germany. pp.396-400, ⟨10.1109/RE57278.2023.00062⟩. ⟨hal-04226910⟩
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