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2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (2017)
Urbana, IL, USA
Oct. 30, 2017 to Nov. 3, 2017
ISBN: 978-1-5386-3976-4
pp: 973-977
Jinfeng Lin , University of Notre Dame, South Bend, IN, USA
Yalin Liu , University of Notre Dame, South Bend, IN, USA
Jin Guo , University of Notre Dame, South Bend, IN, USA
Jane Cleland-Huang , University of Notre Dame, South Bend, IN, USA
William Goss , School of Computing, DePaul University, Chicago, USA
Wenchuang Liu , School of Computing, DePaul University, Chicago, USA
Sugandha Lohar , School of Computing, DePaul University, Chicago, USA
Natawut Monaikul , School of Computing, DePaul University, Chicago, USA
Alexander Rasin , School of Computing, DePaul University, Chicago, USA
ABSTRACT
Software projects produce large quantities of data such as feature requests, requirements, design artifacts, source code, tests, safety cases, release plans, and bug reports. If leveraged effectively, this data can be used to provide project intelligence that supports diverse software engineering activities such as release planning, impact analysis, and software analytics. However, project stakeholders often lack skills to formulate complex queries needed to retrieve, manipulate, and display the data in meaningful ways. To address these challenges we introduce TiQi, a natural language interface, which allows users to express software-related queries verbally or written in natural language. TiQi is a web-based tool. It visualizes available project data as a prompt to the user, accepts Natural Language (NL) queries, transforms those queries into SQL, and then executes the queries against a centralized or distributed database. Raw data is stored either directly in the database or retrieved dynamically at runtime from case tools and repositories such as Github and Jira. The transformed query is visualized back to the user as SQL and augmented UML, and raw data results are returned. Our tool demo can be found on YouTube at the following link:http://tinyurl.com/TIQIDemo.
INDEX TERMS
Structured Query Language, Natural languages, Hazards, Software, Tools, Distributed databases, Unified modeling language
CITATION

J. Lin et al., "TiQi: A natural language interface for querying software project data," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, USA, 2017, pp. 973-977.
doi:10.1109/ASE.2017.8115714
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