Interactive Programming & Analysis Lab
We see the elements of play and exploration in activities of software and data engineering as an essential part of developing larger computational systems.
We can broadly view the work we do as part of two categories:
- Empirical Understanding: We we want to understand the underlying structures and artifacts that govern exploration and experimentation in computational tasks.
- System Building: We design, build, and evaluate interventions in the form of systems that either automate or augment human ability to better deal with these structures and artifacts.
We have multiple project openings in the areas of interactive programming, machine learning for software engineering, and program synthesis. Please reach out to Jürgen Cito
or Michael Schröder
Have a look at some potential areas and topics here: IPA Student Project Slides
- The Interactive Programming & Analysis Lab (IPA Lab) is a newly founded lab as part of the Business Informatics Group @ TU Wien led by Dr. Jürgen Cito
- Students at TU Wien we are offering various student projects (bachelor's and master's theses, projects in computer science, seminars)
- We are offering two courses at TU Wien in SS2020: Web Engineering and Seminar in Software Engineering
- Our research on continuous and incremental performance modeling has received a Facebook Research Award
- Our research on synthesizing security patches using machine learning has received an IBM Research Award
- Interactive Production Performance Feedback in the IDE,
Jürgen Cito, Philipp Leitner, Martin Rinard, Harald C. Gall
- PerformanceHat – Augmenting Source Code with Runtime Performance Traces in the IDE,
Jürgen Cito, Philipp Leitner, Christian Bosshard, Markus Knecht, Genz Mazlami, Harald C. Gall
- Context-Based Analytics - Establishing Explicit Links between Runtime Traces and Source Code,
Jürgen Cito, Fábio Oliveira, Philipp Leitner, Priya Nagpurkar, Harald C. Gall
- An Empirical Analysis of the Docker Container Ecosystem on GitHub,
Jürgen Cito, Gerald Schermann, Philipp Leitner, Erik Wittern, Sali Zumberi, Harald C. Gall
- Patterns in the Chaos a Study of Performance Variation and Predictability in Public IaaS Clouds,
Philipp Leitner, Jürgen Cito
Transaction on Internet Technology'16.
- Runtime Metric Meets Developer – Building Better Cloud Applications Using Feedback,
Jürgen Cito, Philipp Leitner, Harald C. Gall. Aryan Dadashi, Anne Keller, Andreas Roth
- The Making of Cloud Applications – An Empirical Study on Software Development for the Cloud,
Jürgen Cito, Philipp Leitner, Thomas Fritz, Harald C. Gall