Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

With the growing number of competing Web services that provide similar functionality,
Quality-of-Service (QoS) prediction is becoming increasingly important for various QoS …

Context Software defect prediction is important to ensure the quality of software. Nowadays,
many supervised learning techniques have been applied to identify defective instances (eg …

With the widespread deployment of various cloud computing and service-oriented systems,
there is a rapidly increasing demand for collaborative quality-of-service (QoS) prediction …

With the rapid growth of cloud service systems and their increasing complexity, service
failures become unavoidable. Outages, which are critical service failures, could dramatically …

With the development of Web service technology, more and more enterprises choose to
publish their own services on the Internet. However, with the increasing demands of users, it …

Context: Large-scale software-intensive Systems-of-Systems (SoS) have become present in
several critical domains and have sometimes depended on diverse trending technologies …

The widespread adoption of service computing allows software to be developed by
outsourcing open cloud services (ie, SOAP-based or RESTful Web APIs) through mashup or …

Web services are a cornerstone of many crucial domains, including cloud computing and the
Internet of Things. In this context, QoS prediction for Web services is a highly important and …