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Natural language (NL) is arguably the most prevalent medium for expressing systems and software requirements.
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Christiane Fellbaum · 1998
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Andras Vargha and Harold Delaney · 2000
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From contract drafting to software specification: Linguistic sources of ambiguity, a handbook, 2003
Daniel M. Berry, Erik Kamsties, and Michael Krieger · 2003
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On the interplay between consistency, completeness, and correctness in requirements evolution
Didar Zowghi and Vincenzo Gervasi · 2003
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The three Cs of requirements: Consistency, completeness, and correctness
Didar Zowghi and Vincenzo Gervasi · 2003
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Robust confidence intervals for effect sizes: A comparative study of cohen’s d and cliff’s delta under non-normality and heterogeneous variances
M. Hess and J. Kromrey · 2004
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Gaoying Cui, Qin Lu, Wenjie Li, and Yi-Rong Chen · 2008
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Introduction to Information Retrieval
Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze · 2008
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Evaluating the completeness and granularity of functional requirements specifications: A controlled experiment
Sergio Espana, Nelly Condori-Fernandez, Arturo Gonzalez, and Óscar Pastor · 2009
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Contrasting languages: The scope of contrastive linguistics
Tomasz P. Krzeszowski · 2011
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Generating obstacle conditions for requirements completeness
Dalal Alrajeh, Jeff Kramer, Axel van Lamsweerde, Alessandra Russo, and Sebastian Uchitel · 2012
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
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Feature selection for knowledge discovery and data mining
Huan Liu and Hiroshi Motoda · 2012
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Linguistic regularities in continuous space word representations
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig · 2013
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Measuring and improving the completeness of natural language requirements
Alessio Ferrari, Felice dell’Orletta, Giorgio Oronzo Spagnolo, and Stefania Gnesi · 2014
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning · 2014
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Automated checking of conformance to requirements templates using natural language processing
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, and Frank Zimmer · 2015
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A semantic driven approach for requirements verification
Gabriella Gigante, Francesco Gargiulo, and Massimo Ficco · 2015
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Advances in natural language processing
Julia Hirschberg and Christopher D. Manning · 2015
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Challenging incompleteness of performance requirements by sentence patterns
Jonas Eckhardt, Andreas Vogelsang, Henning Femmer, and Philipp Mager · 2016
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Improving agile requirements: the quality user story framework and tool
Garm Lucassen, Fabiano Dalpiaz, Jan Martijn Van der Werf, and Sjaak Brinkkemper · 2016
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The WEKA Workbench. Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques”
Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal · 2016
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Automated extraction and clustering of requirements glossary terms
An active learning approach for improving the accuracy of automated domain model extraction
Chetan Arora, Mehrdad Sabetzadeh, Shiva Nejati, and Lionel Briand · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
D. Jurafsky and J.H. Martin · 2019
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NoRBERT: Transfer learning for requirements classification
Tobias Hey, Jan Keim, Anne Koziolek, and Walter F. Tichy · 2020
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Extracting and classifying requirements from software engineering contracts
Abhishek Sainani, Preethu Rose Anish, Vivek Joshi, and Smita Ghaisas · 2020
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Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, and Frank Zimmer · 2017
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Detecting domain-specific ambiguities: an NLP approach based on Wikipedia crawling and word embeddings
Alessio Ferrari, Beatrice Donati, and Stefania Gnesi · 2017
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PURE: A dataset of public requirements documents
Alessio Ferrari, Giorgio Oronzo Spagnolo, and Stefania Gnesi · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten, Eibe Frank, and Mark A. Hall · 2017
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Semantic incompleteness in privacy policy goals
Jaspreet Bhatia and Travis Breaux · 2018
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Feature selection in machine learning: A new perspective
Jie Cai, Jiawei Luo, Shulin Wang, and Sheng Yang · 2018
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Is requirements similarity a good proxy for software similarity? an empirical investigation in industry
Muhammad Abbas, Alessio Ferrari, Anas Shatnawi, Eduard Paul Enoiu, and Mehrdad Saadatmand · 2021
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Empirical evaluation of tools for hairy requirements engineering tasks
Daniel Berry · 2021
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Using domain-specific corpora for improved handling of ambiguity in requirements
Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, and Lionel Briand · 2021
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Natural language processing for requirements engineering: A systematic mapping study
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo, Muideen A. Ajagbe, Erol-Valeriu Chioasca, and Riza T. Batista-Navarro · 2021
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AI-enabled automation for completeness checking of privacy policies
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Automated handling of anaphoric ambiguity in requirements: A multi-solution study
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WikiDoMiner: Wikipedia domain-specific miner
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Abbreviation-expansion pair detection for glossary term extraction
Hussein Hasso, Katharina Großer, Iliass Aymaz, Hanna Geppert, and Jan Jürjens · 2022
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Domain model extraction from user-authored scenarios and word embeddings
Yuchen Shen and Travis Breaux · 2022
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Replication package, 2023
Dipeeka Luitel, Shabnam Hassani, and Mehrdad Sabetzadeh · 2023
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Using language models for enhancing the completeness of natural-language requirements
Dipeeka Luitel, Shabnam Hassani, and Mehrdad Sabetzadeh · 2023
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GPT-4 technical report
OpenAI · 2023
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