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Requirement Dependency Extraction Based on Improved Stacking Ensemble Machine Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Parameter selection in particle swarm optimization
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A method of requirements change analysis
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Investigating dependencies in software requirements for change propagation analysis
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Change impact analysis for requirements: A metamodeling approach
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DRank: A semi-automated requirements prioritization method based on preferences and dependencies
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Automated Requirement Dependency Analysis for Complex Technical Systems
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Machine learning in requirements elicitation: a literature review
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Particle Swarm Optimization: A Comprehensive Survey
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PyTraceBugs: A Large Python Code Dataset for Supervised Machine Learning in Software Defect Prediction
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Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough Sets
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SReYantra: Automated Software Requirement Inter-Dependencies Elicitation, Analysis and Learning
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Exploring the use of deep learning for feature location
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The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction
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Classification and Prioritization of Requirements Smells Using Machine Learning Techniques
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New Approaches to the Identification of Dependencies between Requirements
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Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features
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Automated Identification of LTL Patterns in Natural Language Requirements
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Data-Driven Elicitation and Optimization of Dependencies between Requirements
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Requirements Dependency Extraction by Integrating Active Learning with Ontology-Based Retrieval
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Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation
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Is BERT the New Silver Bullet? - An Empirical Investigation of Requirements Dependency Classification
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Detecting Software Security Vulnerabilities Via Requirements Dependency Analysis
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Making the most of small Software Engineering datasets with modern machine learning
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Automated Identification of Type-Specific Dependencies between Requirements
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An empirical investigation into learning bug-fixing patches in the wild via neural machine translation
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Deep Learning for Source Code Modeling and Generation
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A Survey on Deep Learning for Software Engineering
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Efficient Estimation of Nepali Word Representations in Vector Space
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Hybrid recommendation model based on deep learning and Stacking integration strategy
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Improve Neural Machine Translation by Building Word Vector with Part of Speech
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Classification of Software Systems attributes based on quality factors using linguistic knowledge and machine learning: A review.
inferredcites →https://doi.org/10.3390/sym12101601openalex-snapshot
An Ensemble Machine Learning Technique for Functional Requirement Classification
inferredcites →https://doi.org/10.3724/sp.j.1016.2013.00054openalex-snapshot
Eliciting Relations from Requirements Text Based on Dependency Analysis
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Using Machine Learning to Identify Software Weaknesses from Software Requirement Specifications
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Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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