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2020 | OriginalPaper | Buchkapitel

Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing

verfasst von : Martijn van Vliet, Eduard C. Groen, Fabiano Dalpiaz, Sjaak Brinkkemper

Erschienen in: Requirements Engineering: Foundation for Software Quality

Verlag: Springer International Publishing

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Abstract

[Context and motivation] App stores and social media channels such as Twitter enable users to share feedback regarding software. Due to its high volume, it is hard to effectively and systematically process such feedback to obtain a good understanding of users’ opinions about a software product. [Question/problem] Tools based on natural language processing and machine learning have been proposed as an inexpensive mechanism for classifying user feedback. Unfortunately, the accuracy of these tools is imperfect, which jeopardizes the reliability of the analysis results. We investigate whether assigning micro-tasks to crowd workers could be an alternative technique for identifying and classifying requirements in user feedback. [Principal ideas/results] We present a crowdsourcing method for filtering out irrelevant app store reviews and for identifying features and qualities. A validation study has shown positive results in terms of feasibility, accuracy, and cost. [Contribution] We provide evidence that crowd workers can be an inexpensive yet accurate resource for classifying user reviews. Our findings contribute to the debate on the roles of and synergies between humans and AI techniques.

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Vorheriges Kapitel Towards Integrating Data-Driven Requirements Engineering into the Software Development Process: A Vision Paper

Nächstes Kapitel Designing a Virtual Client for Requirements Elicitation Interviews

In this paper, user requirements are understood as “a need perceived by a stakeholder”, as per one sub-definition of requirement in the IREB Glossary [9].

Kyōryoku

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-030-44429-7_11/MediaObjects/495904_1_En_11_Figa_HTML.gif

is a Japanese term for collaboration: literally, it combines strength

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-030-44429-7_11/MediaObjects/495904_1_En_11_Figb_HTML.gif

with cooperation

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-030-44429-7_11/MediaObjects/495904_1_En_11_Figc_HTML.gif

https://www.figure-eight.com/.

Note: because Phases 1 and 2 focus on filtering out irrelevant reviews, we take the useless category as our positives.

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Titel: Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing
verfasst von: Martijn van Vliet
Eduard C. Groen
Fabiano Dalpiaz
Sjaak Brinkkemper
Verlag: Springer International Publishing
Buch: Requirements Engineering: Foundation for Software Quality
Print ISBN: 978-3-030-44428-0

Electronic ISBN: 978-3-030-44429-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-44429-7_11

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