Program
Registration: https://conf.researchr.org/attending/RE-2021/registration
The following is program to be held on Monday Sept 20th, 2021, 8:00-13:00 (Easter Time, US and Canada), 14:00-19:00 (Central European Time), 13:00-18:00 (British Summer Time).
Session 1
(EDT) 08:00 - 08:10
Welcome from the Organizers
Nelly Bencomo, Rachel Harrison, Daniel Rodriguez
08:10 - 09:10
Is BERT the New Silver Bullet? - An Empirical Investigation of Feature Dependency Classication in FOSS
Gouri Deshpande, Behnaz Sheiki, Saipreetham Chakka, Dylan Zotegouon, Guenther Ruhe and Navid Masahati
Knowledge-based Sense Disambiguation of Multiword Expressions in Requirements Documents
Tobias Hey, Jan Keim and Walter F. Tichy
CATE: CAusality Tree Extractor from Natural Language Requirements
Noah Jadallah, Jannik Fischbach, Julian Frattini and Andreas Vogelsang
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini and Andreas Vogelsang
Session 2
09:20 - 10:20
Evaluating unsupervised text embeddings onsoftware user feedback
Peter Devine, Yun Sing Koh and Kelly Blincoe
Automated Identification and Deconstruction of Penalty Clauses in Regulation
Preethu Rose Anish, Pratik Sonar, Prashant Lawhatre and Smita Ghaisas
Machine Learning-based Estimation of Story Points in Agile Development: Industrial Experience and Lessons Learned
Macarious Abadeer and Mehrdad Sabetzadeh
Machine Learning in Requirements Engineering: A Mapping Study
Kareshna Zamani, Didar Zowghi and Chetan Arora
Session 3 Panel
10:30 - 11:30
Artificial Intelligence and Requirement Engineering: Challenges and Opportunities
Panelists: Tim Menzies, Jin Guo and Hans-Martin Heyn
Session 4
11:40 - 12:40
Issue Link Label Recovery and Prediction for Open Source Software
Alexander Nicholson and Jin L.C. Guo
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang and Daniel Mendez
Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App
Luis Hernan Garcia Paucar, Nelly Bencomo and Alistair Sutcliffe
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work
Mohammad Kasra Habib, Stefan Wagner and Daniel Graziotin
Closing Plenary Session
12:40 - 13:00
Closing Plenary Session