Canary: an Interactive and Query-Based Approach to Extract Requirements from Online Forums

Georgi M. Kanchev, Pradeep K. Murukannaiah, Amit K. Chopra, Peter Sawyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Interactions among stakeholders and engineers is key to Requirements engineering (RE). Increasingly, such interactions take place online, producing large quantities of qualitative (natural language) and quantitative (e.g., votes) data. Although a rich source of requirements-related information, extracting such information from online forums can be nontrivial.We propose Canary, a tool-assisted approach, to facilitate systematic extraction of requirements-related information from online forums via high-level queries. Canary (1) adds structure to natural language content on online forums using an annotation schema combining requirements and argumentation ontologies, (2) stores the structured data in a relational database, and (3) compiles high-level queries in Canary syntax to SQL queries that can be run on the relational database.We demonstrate key steps in Canary workflow, including (1) extracting raw data from online forums, (2) applying annotations to the raw data, and (3) compiling and running interesting Canary queries that leverage the social aspect of the data.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 25th International Requirements Engineering Conference, RE 2017
PublisherIEEE
Pages470-471
Number of pages2
ISBN (Electronic)9781538631911
DOIs
Publication statusPublished - 26 Sep 2017
Event25th IEEE International Requirements Engineering Conference, RE 2017 - Lisbon, Portugal
Duration: 4 Sep 20178 Sep 2017

Publication series

Name2017 IEEE 25th International Requirements Engineering Conference (RE)
PublisherIEEE
ISSN (Print)2332-6441

Conference

Conference25th IEEE International Requirements Engineering Conference, RE 2017
CountryPortugal
CityLisbon
Period4/09/178/09/17

Bibliographical note

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  • Cite this

    Kanchev, G. M., Murukannaiah, P. K., Chopra, A. K., & Sawyer, P. (2017). Canary: an Interactive and Query-Based Approach to Extract Requirements from Online Forums. In Proceedings - 2017 IEEE 25th International Requirements Engineering Conference, RE 2017 (pp. 470-471). [8049163] (2017 IEEE 25th International Requirements Engineering Conference (RE)). IEEE. https://doi.org/10.1109/RE.2017.84