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ReqGen: Keywords-Driven Software Requirements Generation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-28244-0openalex-snapshot
Engineering and Managing Software Requirements
inferredcites →https://doi.org/10.1007/978-3-030-15538-4_13openalex-snapshot
Identifying Requirements in Requests for Proposal: A Research Preview
inferredcites →https://doi.org/10.1007/s00766-004-0189-1openalex-snapshot
Deriving tabular event-based specifications from goal-oriented requirements models
inferredcites →https://doi.org/10.1007/s00766-005-0010-9openalex-snapshot
Generating requirements from systems models using patterns: a case study
inferredcites →https://doi.org/10.1007/s00766-007-0054-0openalex-snapshot
Generating Natural Language specifications from UML class diagrams
inferredcites →https://doi.org/10.1007/s00766-017-0279-5openalex-snapshot
Using the AMAN-DA method to generate security requirements: a case study in the maritime domain
inferredcites →https://doi.org/10.1016/j.aei.2018.01.002openalex-snapshot
Semantic BMS: Allowing usage of building automation data in facility benchmarking
inferredcites →https://doi.org/10.1016/j.eswa.2022.119027openalex-snapshot
An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios
inferredcites →https://doi.org/10.1016/j.infsof.2004.09.002openalex-snapshot
Deriving requirements from process models via the problem frames approach
inferredcites →https://doi.org/10.1016/j.infsof.2019.106196openalex-snapshot
Assisting engineers extracting requirements on components from domain documents
inferredcites →https://doi.org/10.1016/j.procs.2015.05.326openalex-snapshot
Automated Requirements Extraction for Scientific Software
inferredcites →https://doi.org/10.1109/32.738341openalex-snapshot
Inferring declarative requirements specifications from operational scenarios
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1109/icre.2003.1232764openalex-snapshot
The automated extraction of requirements from UML models
inferredcites →https://doi.org/10.1109/re.2009.9openalex-snapshot
Easy Approach to Requirements Syntax (EARS)
inferredcites →https://doi.org/10.1109/re.2013.6636731openalex-snapshot
The impact of requirements on software quality across three product generations
inferredcites →https://doi.org/10.1109/re.2015.7320431openalex-snapshot
An environment-driven ontological approach to requirements elicitation for safety-critical systems
inferredcites →https://doi.org/10.1109/re.2016.50openalex-snapshot
Mining Requirements Knowledge from Collections of Domain Documents
inferredcites →https://doi.org/10.1109/re.2017.68openalex-snapshot
Mining Associations Between Quality Concerns and Functional Requirements
inferredcites →https://doi.org/10.1109/re.2017.71openalex-snapshot
SAFE: A Simple Approach for Feature Extraction from App Descriptions and App Reviews
inferredcites →https://doi.org/10.1109/re.2019.00018openalex-snapshot
Analysis of Requirements-Related Arguments in User Forums
inferredcites →https://doi.org/10.1109/re.2019.00041openalex-snapshot
A Query System for Extracting Requirements-Related Information from Legal Texts
inferredcites →https://doi.org/10.1109/re.2019.00057openalex-snapshot
Requirement Mining in Software Product Forums
inferredcites →https://doi.org/10.1109/re48521.2020.00026openalex-snapshot
Extracting and Classifying Requirements from Software Engineering Contracts
inferredcites →https://doi.org/10.1109/re51729.2021.00010openalex-snapshot
What can Open Domain Model Tell Us about the Missing Software Requirements: A Preliminary Study
inferredcites →https://doi.org/10.1109/re51729.2021.00048openalex-snapshot
Putting software requirements under the microscope: automated extraction of their semantic elements
inferredcites →https://doi.org/10.1109/re51729.2021.00052openalex-snapshot
DBRG: Description-Based Non-Quality Requirements Generator
inferredcites →https://doi.org/10.1109/rew.2017.61openalex-snapshot
Discovering Requirements through Goal-Driven Process Mining
inferredcites →https://doi.org/10.1109/rew53955.2021.00019openalex-snapshot
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
inferredcites →https://doi.org/10.1109/rew53955.2021.00020openalex-snapshot
Evaluating Unsupervised Text Embeddings on Software User Feedback
inferredcites →https://doi.org/10.1109/rew53955.2021.00058openalex-snapshot
Requirements for Online User Feedback Management in RE Tasks
inferredcites →https://doi.org/10.1109/taslp.2019.2943018openalex-snapshot
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation
inferredcites →https://doi.org/10.1145/1985793.1985819openalex-snapshot
On-demand feature recommendations derived from mining public product descriptions
inferredcites →https://doi.org/10.1145/3233027.3233029openalex-snapshot
Extracting software product line feature models from natural language specifications
inferredcites →https://doi.org/10.1145/3308558.3313532openalex-snapshot
Generating Product Descriptions from User Reviews
inferredcites →https://doi.org/10.1145/3357384.3357984openalex-snapshot
Learning to Generate Personalized Product Descriptions
inferredcites →https://doi.org/10.1145/3377811.3380356openalex-snapshot
Detection of hidden feature requests from massive chat messages via deep siamese network
inferredcites →https://doi.org/10.1145/3404835.3463069openalex-snapshot
Empowering News Recommendation with Pre-trained Language Models
inferredcites →https://doi.org/10.1145/587051.587070openalex-snapshot
Deriving operational software specifications from system goals
inferredcites →https://doi.org/10.1162/tacl_a_00313openalex-snapshot
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016834openalex-snapshot
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.698openalex-snapshot
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.701openalex-snapshot
Gradient-guided Unsupervised Lexically Constrained Text Generation
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.165openalex-snapshot
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.26openalex-snapshot
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
inferredcites →https://doi.org/10.18653/v1/d15-1031openalex-snapshot
Aligning Knowledge and Text Embeddings by Entity Descriptions
inferredcites →https://doi.org/10.18653/v1/d16-1150openalex-snapshot
Personalized Emphasis Framing for Persuasive Message Generation
inferredcites →https://doi.org/10.18653/v1/p16-1154openalex-snapshot
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
inferredcites →https://doi.org/10.18653/v1/p17-1141openalex-snapshot
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
inferredcites →https://doi.org/10.18653/v1/p19-1356openalex-snapshot
What Does BERT Learn about the Structure of Language?
inferredcites →https://doi.org/10.3115/v1/p14-5010openalex-snapshot
The Stanford CoreNLP Natural Language Processing Toolkit
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1905.02450openalex-snapshot
MASS: Masked Sequence to Sequence Pre-training for Language Generation
inferredcites →https://doi.org/10.48550/arxiv.1905.03197openalex-snapshot
Unified Language Model Pre-training for Natural Language Understanding and Generation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-72506-7_11openalex-snapshot
Smart Attendance System by Facial Recognition
inferred← citeshttps://doi.org/10.1007/978-3-032-11358-0_6openalex-snapshot
Generation of Software Requirements from User Feedback Combining ML and LLMs
inferred← citeshttps://doi.org/10.1007/s00766-025-00441-wopenalex-snapshot
ReqCompletion: domain-enhanced automatic completion for software requirements
inferred← citeshttps://doi.org/10.1007/s11432-023-4127-5openalex-snapshot
Deep learning-based software engineering: progress, challenges, and opportunities
inferred← citeshttps://doi.org/10.1109/icsc60084.2023.10349986openalex-snapshot
Gargoyle Guard: Enhancing Cybersecurity with Artificial Intelligence Techniques
inferred← citeshttps://doi.org/10.1109/icsc65596.2025.11140185openalex-snapshot
AI-Driven Adaptive Gait Biometrics: Pioneering Real-Time Continuous Authentication for Enhanced Security
inferred← citeshttps://doi.org/10.1109/re59067.2024.00023openalex-snapshot
ReqCompletion: Domain-Enhanced Automatic Completion for Software Requirements
inferred← citeshttps://doi.org/10.1145/3702987openalex-snapshot
Empowering Agile-Based Generative Software Development through Human-AI Teamwork
inferred← citeshttps://doi.org/10.1145/3729347openalex-snapshot
Incorporating Verification Standards for Security Requirements Generation from Functional Specifications
inferred← citeshttps://doi.org/10.1145/3744916.3773109openalex-snapshot
Unlocking the Silent Needs: Business-Logic-Driven Iterative Requirements Auto-completion
inferred← citeshttps://doi.org/10.1145/3754450openalex-snapshot
Vision to Specification: Automating the Transition from Conceptual Features to Functional Requirements
inferred← citeshttps://doi.org/10.1145/3760622.3760642openalex-snapshot
Adaptive Gait Biometrics for Real Time Continuous Authentication
inferred← citeshttps://doi.org/10.1145/3807968.3810930openalex-snapshot
Towards a Generative AI-Driven Environment for the Specification and Evaluation of IoT Software Systems Requirements
inferred← citeshttps://doi.org/10.3390/a16090403openalex-snapshot
From Data to Human-Readable Requirements: Advancing Requirements Elicitation through Language-Transformer-Enhanced Opportunity Mining
inferred← citeshttps://doi.org/10.3390/computers12080164openalex-snapshot
Requirement Change Prediction Model for Small Software Systems
inferred← citeshttps://doi.org/10.5753/sbqs.2025.15015openalex-snapshot
Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare
inferred← citeshttps://doi.org/10.5753/sbsi.2026.248317openalex-snapshot
Quality Evaluation of Software Functional Requirements Generated by LLMs: A Systematic Mapping Study
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