ARSeek identifies API resources by jointly analyzing code snippets and natural-language discussions on Stack Overflow, outperforming single-modality baselines for developer API queries.
An empirical study evaluating the effectiveness of pre-trained models for API learning tasks, comparing PTM variants against traditional baselines across API sequence completion and cross-lingual API mapping.
FACOS combines semantic and syntactic analysis to automatically find API-relevant content on Stack Overflow, outperforming pure keyword-based retrieval for developer API queries.
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering - A Study on Classification of App-Reviews
AOBTM - Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis
The interactive visualization tool makes it easier for the developers to traverse through the extensive result set generated by the text classification and topic modeling algorithms. It also helps developers to quickly comprehend the outcomes of implemented model feature combinations.