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Research Projects

The rising popularity of mobile apps deployed on battery-constrained devices underlines the need for effectively evaluating their energy properties. However, currently there is a lack of testing tools for evaluating the energy properties of apps. As a result, for energy testing, developers are relying on tests intended for evaluating the functional correctness of apps. Such tests may not be adequate for revealing energy defects and inefficiencies in apps.

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Project Dates: 
January 2017

The number of malicious Android apps is increasing rapidly. Android malware can damage or alter other files or settings, install additional applications, etc. To determine such behaviors, a security analyst can significantly benefit from identifying the family to which an Android malware belongs, rather than only detecting if an app is malicious. Techniques for detecting Android malware, and determining their families, lack the ability to handle certain obfuscations that aim to thwart detection.

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Project Dates: 
January 2016

In the era of big data and personalization, websites and (mobile) applications collect an increasingly large amount of personal information about their users. The large majority of users decide to disclose some but not all information that is requested from them. They trade off the anticipated benefits with the privacy risks of disclosure, a decision process that has been dubbed privacy calculus. Such decisions are inherently difficult though, because they may have uncertain repercussions later on that are difficult to weigh against the (possibly immediate) gratification of disclosure. How can we help users to balance the benefits and risks of information disclosure in a user-friendly manner, so that they can make good privacy decisions?

Project Dates: 
September 2010

Collaboration is becoming ubiquitious; at the same time the emergence of new technologies have been changing the landscape of interaction and collaboration. I am interested in the effect that information technologies have on collaboration and the development of new organizational practices such as network-centricity, group-to-group collaboration, nomadic work, and large-scale collaboration. I am also very interested in how Web 2.0 technologies (blogs, wikis, social-networking sites, etc.) are used in collaboration and how they can be integrated into the course of daily work. 

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Project Dates: 
January 2002

TrimDroid is a novel combinatorial approach for generating GUI system tests for Android apps.

TrimDroid is comprised of four major components: Model Extraction, Dependency Extraction, Sequence Generation, and Test-Case Generation. Together, these components produce a significantly smaller number of test cases than exhaustive combinatorial technique, yet achieve a comparable coverage.

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March 2015

One method of facilitating developers to understand the complex inner nature of software that we have employed is the use of information visualization. Software is often so complex that even the developers who initially created it cannot understand all of the possible runtime behaviors that it can exhibit --- specifically, all of the bugs that it may contain. In order to present large code bases with innumerable characteristics and relationships of its components (e.g., instructions, variables, values, and timings) we have developed a number of novel visualizations of software.

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Project Dates: 
May 2001

The development of a software system is now ever more frequently a part of a larger development effort, including multiple software systems that co-exist in the same environment: a software ecosystem. Though most studies of the evolution of software have focused on a single software system, there is much that we can learn from the analysis of a set of interrelated systems. Topic modeling techniques show promise for mining the data stored in software repositories to understand the evolution of a system.

Project Dates: 
April 2012 to December 2014

This project describes and documents observational results that arise from the playtesting­-based evaluation of twenty-­six computer games focused on science learning or scientific research. We refer to this little studied genre of computer games as science learning games (SLGs). Our goal was to begin to identify a new set of criteria, play mechanics, and play experiences that give rise to play­-based learning experiences in the realm of different scientific topics.

Project Dates: 
October 2014

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