• Anwar Z, Afzal H, Kadry S and Cheng X. (2024). Semantic Web Approaches in Stack Overflow. International Journal on Semantic Web & Information Systems. 20:1. (1-61). Online publication date: 9-Nov-2024.

    https://doi.org/10.4018/IJSWIS.358617

  • Specht A, Obaidi M, Nagel L, Stess M and Klünder J. What is Needed to Apply Sentiment Analysis in Real Software Projects: A Feasibility Study in Industry. Human-Centered Software Engineering. (105-129).

    https://doi.org/10.1007/978-3-031-64576-1_6

  • Cassee N, Agaronian A, Constantinou E, Novielli N and Serebrenik A. (2024). Transformers and meta-tokenization in sentiment analysis for software engineering. Empirical Software Engineering. 29:4. Online publication date: 1-Jul-2024.

    https://doi.org/10.1007/s10664-024-10468-2

  • Anwar Z, Afzal H, Altaf N, Kadry S, Kim J and Kaddoura S. (2024). Fuzzy ensemble of fined tuned BERT models for domain-specific sentiment analysis of software engineering dataset. PLOS ONE. 10.1371/journal.pone.0300279. 19:5. (e0300279).

    https://dx.plos.org/10.1371/journal.pone.0300279

  • Shafikuzzaman M, Islam M, Rolli A, Akhter S and Seliya N. An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering. IEEE Access. 10.1109/ACCESS.2024.3439450. 12. (109714-109734).

    https://ieeexplore.ieee.org/document/10623654/

  • Novielli N and Serebrenik A. (2023). Emotion Analysis in Software Ecosystems. Software Ecosystems. 10.1007/978-3-031-36060-2_5. (105-127).

    https://link.springer.com/10.1007/978-3-031-36060-2_5

  • Obaidi M, Holm H, Schneider K and Klünder J. On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting. Product-Focused Software Process Improvement. (108-123).

    https://doi.org/10.1007/978-3-031-21388-5_8