The primary theory of software engineering is that an organization's Pol...
Embedded Network Stacks (ENS) enable low-resource devices to communicate...
As we increasingly depend on software systems, the consequences of breac...
Software engineers develop, fine-tune, and deploy deep learning (DL) mod...
Due to the cost of developing and training deep learning models from scr...
Many engineering organizations are reimplementing and extending deep neu...
Regular expressions (regexes) are a powerful mechanism for solving
strin...
Deep Neural Networks (DNNs) are being adopted as components in software
...
Training deep neural networks (DNNs) takes signifcant time and resources...
Web services use server-side input sanitization to guard against harmful...
Regular expressions are used for diverse purposes, including input valid...
Failure studies are important in revealing the root causes, behaviors, a...
Software metrics capture information about software development processe...
Internet of Things systems carry substantial engineering risks including...
As IoT systems are given more responsibility and autonomy, they offer gr...
Computer vision on low-power edge devices enables applications including...
Machine learning techniques are becoming a fundamental tool for scientif...
Low-power computer vision on embedded devices has many applications. Thi...
This paper explores the extent to which regular expressions (regexes) ar...
The landscape of web APIs is evolving to meet new client requirements an...
GraphQL is a query language for APIs and a runtime to execute queries. U...