The use of nlp-based text representation techniques to support requirement engineering tasks: A systematic map** review
Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
Nlperturbator: Studying the robustness of code llms to natural language variations
Large language models (LLMs) achieve promising results in code generation based on a
given natural language description. They have been integrated into open-source projects …
given natural language description. They have been integrated into open-source projects …
Tabasco: A transformer based contextualization toolkit
Ambiguity means that a single reader can interpret the natural language (NL) software
requirement in more than one way or that multiple readers come to different interpretations …
requirement in more than one way or that multiple readers come to different interpretations …
[HTML][HTML] Enhanced TextNetTopics for Text Classification Using the GSM Approach with Filtered fastText-Based LDA Topics and RF-Based Topic Scoring: fasTNT
TextNetTopics is a novel topic modeling-based topic selection approach that finds highly
ranked discriminative topics for training text classification models, where a topic is a set of …
ranked discriminative topics for training text classification models, where a topic is a set of …
Abbreviation-expansion pair detection for glossary term extraction
H Hasso, K Großer, I Aymaz, H Geppert… - … Working Conference on …, 2022 - Springer
Context and motivation: Providing precise definitions of all project specific terms is a crucial
task in requirements engineering. In order to support the glossary building process, many …
task in requirements engineering. In order to support the glossary building process, many …
Crawling wikipedia pages to train word embeddings model for software engineering domain
Word embeddings allow words used in similar contexts to have similar meanings. Due to
this property word embeddings are widely used as an input feature for classification …
this property word embeddings are widely used as an input feature for classification …
Identification of intra-domain ambiguity using transformer-based machine learning
Recently, the application of neural word embeddings for detecting cross-domain ambiguities
in software requirements has gained a significant attention from the requirements …
in software requirements has gained a significant attention from the requirements …
A Systematic Review of AI-Enabled Frameworks in Requirements Elicitation
Employing Artificial Intelligence techniques to address challenges in requirements elicitation
is gaining traction. Although nine systematic literature reviews have been published on AI …
is gaining traction. Although nine systematic literature reviews have been published on AI …
Enhanced abbreviation–expansion pair detection for glossary term extraction
H Hasso, K Großer, I Aymaz, H Geppert… - Information and Software …, 2023 - Elsevier
Context: Providing precise definitions of all project specific terms is a crucial task in
requirements engineering. In order to support the glossary building process, many previous …
requirements engineering. In order to support the glossary building process, many previous …
Sector classification for crowd-based software requirements
Requirements engineering (RE) is the process of defining, documenting, and maintaining
software requirements. Crowd-based RE (CrowdRE) involves large scale user participation …
software requirements. Crowd-based RE (CrowdRE) involves large scale user participation …