Recommendation systems support users and developers of various computer and software
systems to overcome information overload, perform information discovery tasks, and …

Context, as modeled through variables called contextual factors, can improve human-
computer interaction. To date, in applications supporting software development, such as …

Although today's software systems are composed of a diversity of software artifacts, source
code remains the most up-to-date artifact and therefore the most reliable data source. It …

Recommender system research has oftentimes focused on approaches that operate on
large-scale datasets containing millions of user interactions. However, many small …

Software developers must interact with large amounts of different types of information and
perform many different activities to build a software system. To ease the finding of …

Assisting and automating software engineering tasks is a state-of-the-art way to support
stakeholders of development projects. A common assistance function of IDEs is the auto …

One way to implement and evaluate the effectiveness of recommendation systems in
software engineering is to conduct field studies. Field studies are important as they are the …

This chapter presents a brief overview of the field of recommender technologies and their
emerging application domains. The authors explain the current major recommender system …

Electronic business (e-business) uses information and communication technologies to
conduct many activities of a traditional business process. E-business is usually done …

ABSTRACT SONG, YOONKI. More Usable Recommendation Systems for Improving
Software Quality.(Under the direction of Emerson Murphy-Hill.) Recommendation systems …