RE'17 introduces a new Data Track: We provide industry-relevant challenges and industrial artifacts, consisting of requirements, models and specifications, to allow researchers to apply their techniques to these artifacts and report their results in a challenge paper. We also encourage submissions that present a data set together with research questions.
For this year's RE data challenge, we present sample data sets and four challenges. The questions that can be answered based on these datasets include the following high level challenges:
Submissions should answer research questions related to a specific research problem within the challenge areas defined previously. We ask you to come up with a RE related research problem and present results that improves the state of the art. You can use examples of the datasets provided by us or use and release your own dataset.
|Dataset||Challenge Area 1 (Tracing)||Challenge Area 2 (Identify requirements)||Challenge Area 3 (Extract knowledge)||Challenge Area 4 (Analyze requirements)|
Quality Attributes (NFR)
|e.g. Trace by classification||e.g. Identify Functional and Non-Functional requirements||e.g. Extract Goal Models from Req; Assess requirements quality|
|e.g. Identify quality requirements (here: security)||e.g. Extract glossaries, implied data model|
|e.g. Trace high-level requirements to low-level requirements||e.g. Build Goal Models from Requirements|
Participating in the challenge requires you to:
In addition to the challenges we also encourage high quality submissions that describe a publicly available data set as well as the research questions or broad research challenges that can be investigated and benchmarked based on this data. Data showcase papers can help define new challenges for the next year.
Data showcase papers are expected to include:
Please submit your data papers in PDF format via EasyChair. Select the RE'17 Data Track for your submission.
|Full Paper Submission|
|Camera Ready Due|
All deadlines are 23:59 Anywhere on Earth (Standard Time).
Any inquiries regarding data track papers can be directed to the Data Track Co-Chairs: