Toward Data-Driven Requirements Engineering

Nowadays, users can easily submit feedback about software products in app stores, social media, or user groups. Moreover, software vendors are collecting massive amounts of implicit feedback in the form of usage data, error logs, and sensor data. These trends suggest a shift toward data-driven user-...

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Bibliographic Details
Published inIEEE software Vol. 33; no. 1; pp. 48 - 54
Main Authors Maalej, Walid, Nayebi, Maleknaz, Johann, Timo, Ruhe, Guenther
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.01.2016
IEEE Computer Society
Subjects
app reviews
Computer programs
decision support
Digital media
Error detection
Feature extraction
Feedback
Logs
Media
Requirements analysis
Requirements engineering
Social networks
Software
software analytics
software development
Software engineering
Stakeholders
Stores
Studies
Systems development
usage data
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Summary:Nowadays, users can easily submit feedback about software products in app stores, social media, or user groups. Moreover, software vendors are collecting massive amounts of implicit feedback in the form of usage data, error logs, and sensor data. These trends suggest a shift toward data-driven user-centered identification, prioritization, and management of software requirements. Developers should be able to adopt the requirements of masses of users when deciding what to develop and when to release. They could systematically use explicit and implicit user data in an aggregated form to support requirements decisions. The goal is data-driven requirements engineering by the masses and for the masses.
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ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2015.153