Kent Wills

A Zen garden, also known as Japanese rock garden or Ryoanji garden, creates a peaceful way to visualize space and tranquility. In this paper, we introduce AtmoSPHERE, a new method for automatically imbuing a Zen garden with properties of its surrounding space and occupants. AtmoSPHERE uses a Microsoft Kinect to monitor and extract movement in a room and then visualizes representations of this movement physically via sand traces on a custom built XY servo sandbox table. We present our prototype… Show more

A Zen garden, also known as Japanese rock garden or Ryoanji garden, creates a peaceful way to visualize space and tranquility. In this paper, we introduce AtmoSPHERE, a new method for automatically imbuing a Zen garden with properties of its surrounding space and occupants. AtmoSPHERE uses a Microsoft Kinect to monitor and extract movement in a room and then visualizes representations of this movement physically via sand traces on a custom built XY servo sandbox table. We present our prototype system, the design process and interaction modes, feedback from a preliminary deployment, and a discussion of future work. Show less

Web applications are a rich source of vulnerabilities due to their high exposure, diversity, and popularity. Accordingly, web application vulnerabilities are useful subjects for empirical security research. Although some information on vulnerabilities is publicly available, there are no publicly available datasets that couple vulnerabilities with their source code, metadata, and exploits through an executable test environment. We describe BugBox, a corpus and exploit simulation environment for… Show more

Web applications are a rich source of vulnerabilities due to their high exposure, diversity, and popularity. Accordingly, web application vulnerabilities are useful subjects for empirical security research. Although some information on vulnerabilities is publicly available, there are no publicly available datasets that couple vulnerabilities with their source code, metadata, and exploits through an executable test environment. We describe BugBox, a corpus and exploit simulation environment for PHP web application vulnerabilities. BugBox provides a test environment and a packaging mechanism that allows for the distribution and sharing of vulnerability data. The goal is to facilitate empirical vulnerability studies, security tool evaluation, and security metrics research. In addition, the framework promotes developer education by demonstrating exploits and providing a sandbox where they can be run safely. BugBox and its modules are opensource and available online, and new modules may be contributed by community members. Show less

Source code metrics have been used in past research to predict software quality and focus tasks such as code inspection. A large number of metrics have been proposed and implemented in consumer metric software; however, a smaller, more manageable subset of these metrics may be just as suitable for accomplishing specific tasks as the whole. In this research, we introduce a mathematical model for software defect counts conditioned on product metrics, along with a method for generating synthetic… Show more

Source code metrics have been used in past research to predict software quality and focus tasks such as code inspection. A large number of metrics have been proposed and implemented in consumer metric software; however, a smaller, more manageable subset of these metrics may be just as suitable for accomplishing specific tasks as the whole. In this research, we introduce a mathematical model for software defect counts conditioned on product metrics, along with a method for generating synthetic defect data that chooses parameters for this model to match statistics observed in empirical bug datasets. We then show how these synthetic datasets, when combined with measurements from actual software systems, can be used to demonstrate how sets of metrics perform in various scenarios. Our preliminary results suggest that a small number of source code metrics conveys similar information as a larger set, while providing evidence for the independence of traditional software metric classifications such as size and coupling. Show less

Thorough characterization of micro-electromechanical system (MEMS), silicon-based
semiconductors, and novel III-V based semiconductors through radio frequency (RF) and DC
testing requires a multitude of user actions. These user actions can introduce human error, which
can lead to non-repeatable testing conditions and a loss of valuable time for the tester. Currently,
the automated testing platform operating in the “RF IC and MEMs Characterization Labs” serves
to alleviate… Show more

Thorough characterization of micro-electromechanical system (MEMS), silicon-based
semiconductors, and novel III-V based semiconductors through radio frequency (RF) and DC
testing requires a multitude of user actions. These user actions can introduce human error, which
can lead to non-repeatable testing conditions and a loss of valuable time for the tester. Currently,
the automated testing platform operating in the “RF IC and MEMs Characterization Labs” serves
to alleviate these issues. However, much of the code is legacy C/C++ making it hard to maintain
and update. Every addition of a new testing procedure currently requires a separate development
effort and verification. The automated testing platform will be rewritten in C# and use SQL
Server as a data manager to increase the productivity and efficiency of component testing, as
well as provide a file base to effortlessly add new tests. In turn, this will enhance the
laboratory’s capabilities in terms of internal device characterization as well as external device
evaluation. The platform will be validated through testing mechanical logic memory elements
developed through the Defense Advanced Research Projects Agency (DARPA) nanoelectromechincal system (NEMS) program, evaluating their yield, lifetime, data retention, and
switching speeds. Show less