This study reports findings from a controlled experiment evaluating the benefits of structuring design advice as patterns. Over the years, the pattern concept from architecture has become a native within the HCI community and its related discussions on sharing design knowledge. It is argued that the context-rich, and tangible, nature of patterns…

In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

Commenting source code has long been a common practice in software development. This thesis, consisting of three pieces of work, made novel use of the code comments written in natural language to improve software reliability. Our solution combines Natural Language Processing (NLP), Machine Learning, Statistics, and Program Analysis techniques to…

Visions of future computing in residential settings often come with assumptions of seamless, well-functioning, properly configured devices and network connectivity. In the near term, however, processes of setup, maintenance, and troubleshooting are fraught with difficulties; householders regularly report these tasks as confusing, frustrating, and…