Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …

There is burgeoning interest in designing AI-based systems to assist humans in designing
computing systems, including tools that automatically generate computer code. The most …

The cementitious composites have different properties in the changing environment. Thus,
knowing their mechanical properties is very important for safety reasons. The most important …

Artificial intelligence enabled systems have been an inevitable part of everyday life.
However, efficient software engineering principles and processes need to be considered …

Software testing involves probing into the behavior of software systems to uncover faults.
Most testing activities are complex and costly, so a practical strategy that has been adopted …

One of the greatest challenges faced by industries today is corrosion and of which, one of
the most vital forms is stress corrosion cracking (SCC). It brings highest forms of risks to the …

In technological revolution, Information technology has changed the face on how Education
is experienced and perceived. Learning is quickly becoming an imperative. ICT have great …

Machine learning algorithms have provided core functionality to many application domains–
such as bioinformatics, computational linguistics, etc. However, it is difficult to detect faults in …

Thermoelectric materials can be potentially applied to waste heat recovery and solid-state
cooling because they allow a direct energy conversion between heat and electricity and vice …