This paper describes the state of the art in software frameworks for executing Software Defined Radio (SDR) components. These frameworks are catalyzing drastic changes in signal processing by enabling software engineers and signal processing engineers to work in tandem on core challenges, such as effectively processing large amounts of data in real-time on limited hardware resources. In addition to a historical perspective of this area, we showcase the REDHAWK framework as an example of a modern SDR framework which provides many facilities for distributed SDR deployment.

The widespread adoption and contextually sensitive nature of smartphone devices has increased concerns over smartphone malware. Machine learning classifiers are a current method for detecting malicious applications on smartphone systems. This paper presents the evaluation of a number of existing classifiers, using a dataset containing thousands of real (i.e. not synthetic) applications. We also present our STREAM framework, which was developed to enable rapid large-scale validation of mobile malware machine learning classifiers.

Unit testing component-based distributed systems traditionally involves testing functional concerns of the application logic throughout the software lifecycle. In contrast, testing non-functional distributed system concerns (e.g., end-to-end response time, security, and reliability) typically does not occur until system integration because it requires a complete system to perform such tests, as well as sophisticated techniques to identify and analyze performance metrics that constitute non-functional concerns. Unit testing non-functional concerns is even harder in an agile development environment, due to the disconnect between high-level system specification and low-level performance metrics. This paper describes a methodology and tool called Understanding Non-functional Intentions via Testing and Experimentation (UNITE). UNITE is designed to unit test non-functional concerns of three component-based distributed systems. The results from applying UNITE to a component-based distributed system show how it simplifies unit testing and evaluation of non-functional properties during the early stages of the software lifecycle.