Neutrosophic statistical measures analyze data that is not fully determined, often due to
imprecise observations. This type of data presents a major concern in neutrosophic …

While code generation has been widely used in various software development scenarios,
the quality of the generated code is not guaranteed. This has been a particular concern in …

Abstract Context: Software Quality Assurance (SQA) is a fundamental part of software
engineering to ensure stakeholders that software products work as expected after release in …

There is abundant observational data in the software engineering domain, whereas running
large-scale controlled experiments is often practically impossible. Thus, most empirical …

Knowing the features of a complex system that are highly relevant to a particular target
variable is of fundamental interest in many areas of science. Existing approaches are often …

It is commonly accepted that the quality of requirements specifications impacts subsequent
software engineering activities. However, we still lack empirical evidence to support …

Testing Autonomous Driving Systems (ADS) is essential for safe development of self-driving
cars. For thorough and realistic testing, ADS are usually embedded in a simulator and tested …

Requirements quality research, which is dedicated to assessing and improving the quality of
requirements specifications, is dependent on research artifacts like data sets (containing …

The quality of requirements specifications may impact subsequent, dependent software
engineering (SE) activities. However, empirical evidence of this impact remains scarce and …

Studies in empirical software engineering are often most useful if they make causal claims
because this allows practitioners to identify how they can purposefully influence (rather than …