Context During requirements engineering, prioritization is performed to grade or rank
requirements in their order of importance and subsequent implementation releases. It is a …

The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …

Machine learning (ML) is used increasingly in real-world applications. In this paper, we
describe our ongoing endeavor to define characteristics and challenges unique to …

Abstract Systems that rely on Machine Learning (ML systems) have differing demands on
quality—known as non-functional requirements (NFRs)—from traditional systems. NFRs for …

As one of the gatekeepers of quality software systems, requirements' prioritization (RP) is
often used to select the most important requirements as perceived by system stakeholders …

The results of the requirements engineering process are predominantly documented in
natural language requirements specifications. Besides the actual requirements, these …

Abstract [Context and Motivation] Many requirements prioritization approaches have been
proposed, however not all of them have been investigated empirically in real-life settings. As …

Requirements prioritization is considered as one of the most important approaches in the
requirement engineering process. Requirements prioritization is used to define the ordering …

An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence
(AI) applications. However, in domains with an unintuitive problem-solution-fit, such as …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …