This package contains interview data (themes, codes, and quotes) and survey data to identify, define and measure non-functional requirements for ML systems
Model-Driven Development (MDD) is no longer a novel development paradigm. It has become mature from ...
Although the term ‘non-functional requirement’ has been in use for more than 20 years, there is stil...
This folder contains the current data used in the paper named 'Status Quo and Problems of Requiremen...
Machine Learning (ML) provides approaches which use big data to enable algorithms to \u27learn\u27, ...
Systems that rely on Machine Learning (ML systems) have differing demands on quality—known as non-fu...
Background: Non-Functional Requirements (NFR) have a direct impact on the architecture of the system...
Systems that rely on Machine Learning (ML systems) have differing demands on quality—non-functional ...
This Bachelor Thesis explores the various requirements of Machine Learning projects that utilize num...
Machine learning (ML) has become a core feature for today's real-world applications, making it a tre...
Machine learning (ML) techniques are used to make the software development process more efficient an...
Machine learning (ML) teams often work on a project just to realize the performance of the model is ...
International audienceThe current complexity of systems requires a full understanding of stakeholder...
This systematic literature review (SLR) examines the current practices, challenges, proposed solutio...
Although the term ‘non-functional requirement ’ has been in use for more than 20 years, there is sti...
This thesis proposes and evaluates Machine Learning (ML) based data models to identify and isolate s...
Model-Driven Development (MDD) is no longer a novel development paradigm. It has become mature from ...
Although the term ‘non-functional requirement’ has been in use for more than 20 years, there is stil...
This folder contains the current data used in the paper named 'Status Quo and Problems of Requiremen...
Machine Learning (ML) provides approaches which use big data to enable algorithms to \u27learn\u27, ...
Systems that rely on Machine Learning (ML systems) have differing demands on quality—known as non-fu...
Background: Non-Functional Requirements (NFR) have a direct impact on the architecture of the system...
Systems that rely on Machine Learning (ML systems) have differing demands on quality—non-functional ...
This Bachelor Thesis explores the various requirements of Machine Learning projects that utilize num...
Machine learning (ML) has become a core feature for today's real-world applications, making it a tre...
Machine learning (ML) techniques are used to make the software development process more efficient an...
Machine learning (ML) teams often work on a project just to realize the performance of the model is ...
International audienceThe current complexity of systems requires a full understanding of stakeholder...
This systematic literature review (SLR) examines the current practices, challenges, proposed solutio...
Although the term ‘non-functional requirement ’ has been in use for more than 20 years, there is sti...
This thesis proposes and evaluates Machine Learning (ML) based data models to identify and isolate s...
Model-Driven Development (MDD) is no longer a novel development paradigm. It has become mature from ...
Although the term ‘non-functional requirement’ has been in use for more than 20 years, there is stil...
This folder contains the current data used in the paper named 'Status Quo and Problems of Requiremen...
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