The growing application of deep neural networks in safety-critical domains makes the
analysis of faults that occur in such systems of enormous importance. In this paper we …

Deep learning has gained substantial popularity in recent years. Developers mainly rely on
libraries and tools to add deep learning capabilities to their software. What kinds of bugs are …

Context The recent spike in the growth of online communities is a testament to the
technological advancements of the 21st century. People with shared interests, problems …

Abstract Context: Architecture Tactics (ATs) are architectural building blocks that provide
general architectural solutions for addressing Quality Attributes (QAs) issues. Mining and …

Context: Over the years, there has been debate about what constitutes software quality and
how it should be measured. This controversy has caused uncertainty across the software …

A growing demand is witnessed in both industry and academia for employing Deep
Learning (DL) in various domains to solve real-world problems. Deep reinforcement …

Modern software systems are increasingly including machine learning (ML) as an integral
component. However, we do not yet understand the difficulties faced by software developers …

Platforms such as Stack Overflow are available for software practitioners to solicit solutions
to their challenges and knowledge needs. The practices therein have in recent times …

Machine Learning (ML) is being used in multiple disciplines due to its powerful capability to
infer relationships within data. In particular, Software Engineering (SE) is one of those …

Context: This study compiles the evidence reported on the human aspects of software
engineering in view of providing a comprehensive catalogue of human aspects that have …