… convert the complex requirements into hierarchies of requirement units to facilitate the … ,
machine learning-based method to automatically extract requirement hierarchies from building …

… included studies to develop the machine learning models for requirements elicitation. As a
result, we identified three types of data sources for building ML solutions, which are Textual …

… machine learning task, building data pipeline and developing ML model, evaluating and
deploying the model as software services. Nalchigar et al. [29] illustrate three solution patterns …

… using the classifiers generated in the previous task, we must build an instance for each
new requirement with the quality metrics used in the first task. The format of this instance …

… software has many steps for building a program and all … requirements using machine learning
to represent text data from software requirements specification and classify requirement to …

… requirements (NFRs) are regarded to be important and critical for the success of a software
project, there is still no consensus in the requirements … Building a shared requirement corpus …

… We employ machine learning (ML) to devise an automated approach for requirement
demarcation. Our ML … [38] build an iterative classifier for automated classification of nonfunctional …

… Section 6 explains those well-known machine learning techniques that constitute the
fundamentals of our method to build an automatic rule-based classifier that solves the problem of …

… These desired quality requirements should be captured and considered through the solution
lifetime. In order to understand what ML solutions may meet our quality requirements, we …

… machine learning with model-based control approaches to incorporate subjective environmental
parameters into the building … model-based and learning-based control schemes in a …