Natural language processing (NLP) has played an important role in
several computer science areas, and requirements engineering (RE) is not
an exception. In the last years, the advent of massive and very
heterogeneous natural language (NL) RE-relevant sources, like tweets and
app reviews, has attracted even more interest from the RE community.
The main goal of the NLP4RE workshop is to set up a regular meeting
point for the researchers on NLP technologies in RE in which the
advances, challenges and barriers that they encounter may be
communicated, and collaborations may emerge naturally.
The workshop will welcome contributions in the field of theory and
application of NLP technologies in RE. We also encourage contributions
that highlight challenges faced by industrial practitioners when dealing
with requirements expressed in NL, and faced by academics in technology
transfer studies.
NLP4RE welcomes four types of papers:
1) Report Papers: 2 to 4 pages (plus 1 page for references), in which
the authors provide an overview on the current and past research of
their team, describing what they have been doing on the workshop's
topics, and/or what they are doing, and/or what they plan to do. These
contributions do not require novelty with respect to previous work, and
are oriented to foster discussion and networking.
2) Vision Papers: Maximum length 4 pages (plus 1 page for references),
outlining roadmaps for research in the workshop's topics, including
industrial and research challenges based on currently available
knowledge. Specifically, we encourage contributions that highlight
challenges faced by industrial practitioners when dealing with
requirements expressed in NL, and faced by academics in technology
transfer studies.
3) Technical Design Papers: Maximum length 8 pages (plus 1 page for
references), describing novel technical solutions for the application of
NLP technologies to RE-relevant artifacts. The papers in this category
include preliminary solutions to RE problems, with an early validation.
4) Experience Papers: Maximum length 8 pages (plus 1 page for
references), describing practical experiences in the application of NLP
technologies to RE-relevant artifacts. The papers in this category
include experience reports, industrial case studies, controlled
experiments, and other types of empirical studies conducted to
practically assess existing technical solutions.
Important Dates:
Paper submission deadline: January 25th, 2018
Acceptance/Rejection Notification: February 12th, 2018
Early registration deadline for Workshop authors: February 24th, 2018
Camera Ready deadline: February 24th, 2018
Workshop day: March 19th, 2018