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Research Projects

Given the availability of large-scale source-code repositories, there have been a large number of applications for clone detection. Unfortunately, despite a decade of active research, there is a marked lack in clone detectors that scale to large software repositories. In particular for detecting near-miss clones where significant editing activities may take place in the cloned code.

Project Dates: 
January 2014

The Alloy specification language, and the corresponding Alloy Analyzer, have received much attention in the last two decades with applications in many areas of software engineering. Increasingly, formal analyses enabled by Alloy are desired for use in an on-line mode, where the specifications are automatically kept in sync with the running, possibly changing, software system. However, given Alloy Analyzer's reliance on computationally expensive SAT solvers, an important challenge is the time it takes for such analyses to execute at runtime.

Research Area(s): 
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

Microtask crowdsourcing systems such as FoldIt and ESP partition work into short, self-contained microtasks, reducing barriers to contribute, increasing parallelism, and reducing the time to complete work. Could this model be applied to software development? To explore this question, we are designing a development process and cloud-based IDE for crowd development.

Project Dates: 
May 2012

Scientists are always working to determine which articles are interesting to them, timely, and relevant to their research. If working in an unfamiliar research area, searching for papers becomes even more difficult. By allowing users to vote on the prominence of links, social news sites like Slashdot, Digg, and reddit.com have addressed the issue of surfacing new and interesting content from across the internet. Moreover, they provide opportunities to provide context and comment on the content.

Research Area(s): 
Project Dates: 
October 2013

Yelp reviews and ratings are important source of information to make informed decisions about a venue. We conjecture that further classification of yelp reviews into relevant categories can help users to make an informed decision based on their personal preferences for categories. Moreover, this aspect is especially useful when users do not have time to read many reviews to infer the popularity of venues across these categories.

Research Area(s): 
Project Dates: 
January 2011 to February 2019

One of the many challenges of software development and maintenance is the need to collaborate among many constituents and stakeholders. For example, clients interact with software development organizations; software-development organizations consist of many developers and maintainers within the same location and across different locations; and the development organization often outsources some of the testing efforts to independent test agencies. Each of these parties may reside in different locations, often across many very disparate time zones.

Project Dates: 
May 2009

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