As the data increase keeps on getting more extensive due to technology evolvement from
the rational database, online transaction, cloud computing, data warehouse to big data …

There has been growing interest within the computational science and engineering (CSE)
community in engaging with software engineering research--the systematic study of software …

Adopting or tailoring a project management (PM) method for the domain-specific
requirements of Machine Learning (ML) and Software Engineering (SE) has been a major …

Trusting Human–Machine Teaming Toggle navigation IEEE Computer Society Digital Library
Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE Computer …

The AI era established significant challenges for software developers, especially those
working on Machine Learning (ML)-based software. This article presents the findings of a …

With the prevalence of software systems adopting neural network models, the quality
assurance of these systems has become crucial. Hence, various studies have proposed …

Context: The proficiency of machine learning (ML) systems in solving many real-world
problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML …

Today, there is a high demand for neural network-based software systems supporting
humans during their daily activities. Neural networks are computer programs that simulate …

Today, most popular applications and websites such as Google and Facebook are
multilanguage systems. Google is developed with C, C++, Go, Java, Python, and JS, while …

There is an increasing demand of digitalization technologies in almost all aspects in modern
life. A swelling part of these technologies and solutions are based on Machine Learning …