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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

© 2021 Workshop on Artificial Intelligence and Requirements Engineering. All rights reserved.