38 citations · 55 across the 6 of their papers we have counts for
6 papers
Leveraging Transformer-based Language Models to Automate Requirements Satisfaction Assessment
Amrit Poudel, Jinfeng Lin, Jane Cleland-Huang
Requirements Satisfaction Assessment (RSA) evaluates whether the set of design elements linked to a single requirement provide sufficient coverage of that requirement -- typically…
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Jinfeng Lin, Amrit Poudel, Wenhao Yu +3
Software requirements traceability is a critical component of the software engineering process, enabling activities such as requirements validation, compliance verification, and sa…
Generating and Visualizing Trace Link Explanations
Yalin Liu, Jinfeng Lin, Oghenemaro Anuyah +2
Recent breakthroughs in deep-learning (DL) approaches have resulted in the dynamic generation of trace links that are far more accurate than was previously possible. However, DL-ge…
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Qingkai Zeng, Jinfeng Lin, Wenhao Yu +2
Automatic construction of a taxonomy supports many applications in e-commerce, web search, and question answering. Existing taxonomy expansion or completion methods assume that new…
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models
Jinfeng Lin, Yalin Liu, Qingkai Zeng +2
Software traceability establishes and leverages associations between diverse development artifacts. Researchers have proposed the use of deep learning trace models to link natural…
Traceability Support for Multi-Lingual Software Projects
Yalin Liu, Jinfeng Lin, Jane Cleland-Huang
Software traceability establishes associations between diverse software artifacts such as requirements, design, code, and test cases. Due to the non-trivial costs of manually creat…