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Producing great software as fast as the market demands requires great, productive developers. Yet, what does it mean for an individual developer to be productive, and how can we best help developers to be productive? To answer these questions, researchers in software engineering have been, and are still predominantly looking at the output that software developers create, such as the applications, the source code, or the test cases. This output-oriented focus misses one of the most essential parts in the process of software development: the individual developer who creates the software.
Recent advances in technology afford the opportunity to collect a wide variety of detailed information on a software developer and her work, ranging from the number of resolved work items all the way to the cognitive load the developer experiences while working. The availability and accessibility of data on each developer is enabling us to explore questions about developer productivity in powerful new ways.
In this course we investigate how we can ensure the human ingenuity and smarts are being amplified by the processes and tools used to create systems, rather than the humans spending precious cognitive effort dealing with mundane or unnecessary problems.
This is an overview of the kinds of topics we will cover:
developer productivity
biometric sensing
tool support for software developers
work fragmentation and interruptions
self-monitoring and goal setting
program comprehension
software evolution
quantitative and qualitative evaluation of SD research
This will be a project and paper-based course. The research project is the primary artifact of the course; the outcome of all projects will be a short research paper. The project component will be flexible but will likely involve some programming/analysis. Depending on the class size, the projects may be completed in groups of up to three. Projects may be completed in groups of up to two. The intent of the project is to get students think about a research problem, identify a research question, investigate it and write it up.
In this course, you will also be reading research papers and writing short response papers for each class in preparation, leading interactive paper discussion(s), and writing peer-reviews of papers.
Thomas Fritz (Instructor)
Manuela Züger (Course Assistant)
Lecture Day and Time | Mo 10:15-11:45 |
Location | 1.D.29 |
Credits | 6.0 |
MINF4532 | VVZ Link |
Note: To pass this course, you must pass the research project (obtain at least 50%) and must obtain an overall mark of at least 50%.