[Context & motivation:] Software traceability links which are created during the development process are subsequently underutilized because project stakeholders lack the skills they need to compose trace queries. TiQi addresses this problem by accepting natural language trace queries and transforming them to executable SQL. [Question/problem:] The TiQi engine depends on the presence of a domain model. This can best be constructed through collecting samples from potential users.We are interested to learn what trace queries would be of interest to potential stakeholders and what terminology they would choose to express those queries. [Principal ideas/results:]In this live study we will demonstrate TiQi in action, and lead the participants through a series of carefully crafted ’what-if’ scenarios designed to capture a variety of sample queries. [Contribution:] The study is expected to lead to a more extensive domain model which will improve the accuracy of TiQi’s query transformation process.
Zuerst erschienen in: REFSQ-JP 2015, REFSQ workshops, research method track, and poster track : joint proceedings of REFSQ-2015 workshops, research method track, and poster track : co-located with the 21st International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2015) : Essen, Germany, March 23, 2015 URN: urn:nbn:de:0074-1342-0 Page 207-210