The main challenges are discussed together with the lessons learned from past and
ongoing research along the development cycle of machine learning systems. This will be …

Context Software testing practices and processes in many companies are far from being
mature and are usually conducted in ad-hoc fashions. Such immature practices lead to …

Context Software testing is an important and costly software engineering activity in the
industry. Despite the efforts of the software testing research community in the last several …

Software testing has often to be done under severe pressure due to limited resources and a
challenging time schedule facing the demand to assure the fulfillment of the software …

The industrial sector is improving its management systems and designing healthy
workspaces by focusing on selecting the best ways to reduce accidents and optimize …

Context: The use of system requirements and their risks enables software testers to identify
more important test cases that can reveal the faults associated with system components …

Data validation is an essential requirement to ensure the reliability and quality of Machine
Learning-based Software Systems. However, an exhaustive validation of all data fed to …

“To earn a living”. The definition of work and our understanding of the workplace have
changed in recent years due to the emergence of occupational health and is now a field of …

Background: Selecting a suitable feature reduction technique. when building a defect
prediction model, can be challenging. Different techniques can result in the selection of …

Regression testing aims to ensure the quality of a software after modification. However, re-
executing the entire test suite in regression testing is a time-consuming, costly, and tedious …