Anti-social behavior such as flaming and griefing is pervasive and problematic in many online venues. This behavior breaks established norms and unsettles the well-being and development of online communities. In a popular online game, Riot Games's League of Legends, the game company received tens of thousands of complaints about others every day. To regulate what they call "toxic" behavior, Riot devised the "Tribunal" system as a way of letting the community to police itself. The Tribunal is a crowdsoucing system that empowers players to identify and judge misbehavior.
One of the most difficult tasks in debugging software for a developer is to understand the nature of the fault. Techniques have been proposed by researchers that can help *locate* the fault, but mostly neglected is a way to describe the nature of the fault. We are developing software models, visualizations, and techniques to aid in the diagnosis of the faults in the software.
In addition to the dynamic nature of software while executing, this dynamism extends to the evolution of the software's code itself. The software's evolution is often captured in its entirety by revision-control systems (such as CVS, Subversion, and Git). By utilizing this rich artifact, as well as other historical artifacts (e.g., bug-tracking systems and mailing lists), we can offer a number of techniques for recommending future actions to developers.
In order to produce effective fault-localization, debugging, failure-clustering, and test-suite maintenance techniques, researchers would benefit from a deeper understanding of how faults (i.e., bugs) behave and interact with each other. Some faults, even if executed, may or may not propagate to the output, and even still may or may not influence the output in a way to cause failure. Furthermore, in the presence of multiple faults, faults may interact in a way to obscure each other or in a way to produce behavior not seen in their isolation.
This research addresses challenges in understanding and developing lightweight, Web-based informal music education environments that bring the complexity and joy of orchestral music to diverse audiences. The challenges span from providing awareness and appreciation of different classical music genres through creation of multi-instrument musical compositions, in ways that are fun and interactive.
Sustainability has become a pressing concern, especially given the looming effects of climate change. Sustainable development aims to meet current needs while ensuring sustainability of natural systems and the environment so as to not compromise the ability of future generations to meet their own needs. Current software engineering methods, however, do not explicitly support sustainability or sustainable development.
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.
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?
ISR
