20 citations · 121 across the 24 of their papers we have counts for
3 papers · 1 filter
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies +2
Identifying feature requests and bug reports in user comments holds great potential for development teams. However, automated mining of RE-related information from social media and…
CATE: CAusality Tree Extractor from Natural Language Requirements
Noah Jadallah, Jannik Fischbach, Julian Frattini +1
Causal relations (If A, then B) are prevalent in requirements artifacts. Automatically extracting causal relations from requirements holds great potential for various RE activities…
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
Jannik Fischbach, Tobias Springer, Julian Frattini +3
[Context:] Causal relations (e.g., If A, then B) are prevalent in functional requirements. For various applications of AI4RE, e.g., the automatic derivation of suitable test cases…