Reading List

  1. Abhishek Sainani, Preethu Rose Anish, Vivek Joshi, and Smita Ghaisas: Extracting and Classifying Requirements from Software Engineering Contracts. RE 2020: 147-157

  2. Alessio Ferrari, Andrea Esuli: An NLP approach for cross-domain ambiguity detection in requirements engineering. Autom. Softw. Eng. 26(3): 559-598 (2019)

  3. Christoph Stanik, Tim Pietz, Walid Maalej: Unsupervised Topic Discovery in User Comments. RE 2021: 150-161

  4. Daniela Girardi, Alessio Ferrari, Nicole Novielli, Paola Spoletini, Davide Fucci, and Thaide Huichapa: The Way it Makes you Feel Predicting Users' Engagement During Interviews with Biofeedback and Supervised Learning. RE 2020: 32-43

  5. Fabiano Dalpiaz, Davide Dell'Anna, Fatma Basak Aydemir, Sercan Çevikol: Requirements Classification with Interpretable Machine Learning and Dependency Parsing. RE 2019: 142-152

  6. Fabiano Dalpiaz, Ivor Van Der Schalk, Sjaak Brinkkemper, Fatma Basak Aydemir, Garm Lucassen: Detecting terminological ambiguity in user stories: Tool and experimentation. Inf. Softw. Technol. 110: 3-16 (2019)

  7. Florian Pudlitz, Florian Brokhausen, Andreas Vogelsang: Extraction of System States from Natural Language Requirements. RE 2019: 211-222

  8. Gouri Deshpande, Quim Motger, Cristina Palomares, Ikagarjot Kamra, Katarzyna Biesialska, Xavier Franch, Guenther Ruhe, and Jason Ho: Requirements Dependency Extraction by Integrating Active Learning with Ontology-Based Retrieval. RE 2020: 78-89

  9. Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu: DeepSTL - From English Requirements to Signal Temporal Logic. ICSE 2022: 610-622

  10. Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang: Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. ICSE 2021: 324-335

  11. Jonas Paul Winkler, Jannis Grönberg, Andreas Vogelsang: Predicting How to Test Requirements: An Automated Approach. RE 2019: 120-130

  12. Luca Pascarella, Magiel Bruntink, Alberto Bacchelli: Classifying code comments in Java software systems. Empir. Softw. Eng. 24(3): 1499-1537 (2019)

  13. Michael Rath, Jacob Rendall, Jin L. C. Guo, Jane Cleland-Huang, Patrick Mäder: Traceability in the wild: automatically augmenting incomplete trace links. ICSE 2018: 834-845

  14. Mingwei Liu, Xin Peng, Andrian Marcus, Christoph Treude, Xuefang Bai, Gang Lyu, Jiazhan Xie, Xiaoxin Zhang: Learning-based extraction of first-order logic representations of API directives. ESEC/FSE 2021: 491–501

  15. Nishant Jha, Anas Mahmoud: Mining non-functional requirements from App store reviews. Empir. Softw. Eng. 24(6): 3659-3695 (2019)

  16. Paige Rodeghero, Siyuan Jiang, Ameer Armaly, Collin McMillan: Detecting user story information in developer-client conversations to generate extractive summaries. ICSE 2017: 49-59

  17. Paul Hübner, Barbara Paech: Increasing Precision of Automatically Generated Trace Links. REFSQ 2019: 73-89

  18. Randell Rasiman, Fabiano Dalpiaz, Sergio España: How Effective Is Automated Trace Link Recovery in Model-Driven Development? REFSQ 2022: 35-51

  19. Rohan Reddy Mekala, Asif Irfan, Eduard C. Groen, Adam Porter, Mikael Lindvall: Classifying User Requirements from Online Feedback in Small Dataset Environments using Deep Learning. RE 2021: 139-149

  20. Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh: Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study. ICSE 2022: 187-199

  21. Sallam Abualhaija, Chetan Arora, Amin Sleimi, Lionel Briand: Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study. RE 2022:

  22. Thomas Quirchmayr, Barbara Paech, Roland Kohl, Hannes Karey: Semi-automatic Software Feature-Relevant Information Extraction from Natural Language User Manuals - An Approach and Practical Experience at Roche Diagnostics GmbH. REFSQ 2017: 255-272

  23. Tim Gemkow, Miro Conzelmann, Kerstin Hartig, Andreas Vogelsang: Automatic Glossary Term Extraction from Large-Scale Requirements Specifications. RE 2018: 412-417

  24. Tobias Hey, Jan Keim, Anne Koziolek, and Walter F. Tichy: NoRBERT: Transfer Learning for Requirements Classification. RE 2020: 169-179

  25. Wentao Wang, Nan Niu, Hui Liu, Zhendong Niu: Enhancing Automated Requirements Traceability by Resolving Polysemy. RE 2018: 40-51

  26. Yawen Wang, Lin Shi, Mingyang Li, Qing Wang, and Yun Yang: A Deep Context-Wise Method for Coreference Detection in Natural Language Requirements. RE 2020: 180-191

  27. Zahra Shakeri Hossein Abad, Vincenzo Gervasi, Didar Zowghi, Behrouz H. Far: Supporting analysts by dynamic extraction and classification of requirements-related knowledge. ICSE 2019: 442-453

  28. Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li: Automatic Generation of Pull Request Descriptions. ASE 2019: 176-188

  29. Zijad Kurtanovic, Walid Maalej: Automatically Classifying Functional and Non-functional Requirements Using Supervised Machine Learning. RE 2017: 490-495

  30. Zijad Kurtanovic, Walid Maalej: Mining User Rationale from Software Reviews. RE 2017: 61-70