Research Projects
Our research can be divided into the following research lines:
- Computational Intelligence for Software Engineering (CISELab): How can Computational Intelligence techniques automate software testing and other complex software development tasks? (led by Annibale Panichella)
- DevOps: To understand and improve the modern CI/CD and DevOps practices. (led by Sebastian Proksch, Arie van Deursen)
- Machine Learning for Software Engineering: How can machine learning be used to improve complex software development tasks? (led by Georgios Gousios, Maurício Aniche, Annibale Panichella)
- Software Reliability for Concurrent and Distributed Systems: Develop techniques and tools for increasing the reliability of concurrent and distributed systems. (led by Burcu Kulahcioglu Ozkan)
- Software Engineering for Fintech: Develop methods, tools, and technologies to radically innovate the software-intensive financial sector. (led by Arie van Deursen, Luís Cruz)
- Software Engineering for Artificial Intelligence (SE4AI): SE4AI is an emerging field of research that tries to understand how software systems with AI components can be developed, tested, deployed, scaled and maintained in a continuous, sustainable and efficient manner. (led by Luis Cruz)
- Software Analytics: How can we harness the massive data modern development and deployment processes generate, as well as Big Code, to increase development productivity and operational efficiency? (led by Diomidis Spinellis and Georgios Gousios)
- Software Quality: Help developers in improving the internal and external quality of their software systems. (led by Andy Zaidman, Maurício Aniche, and Diomidis Spinellis)
- Sustainable Software Engineering: Methods and tools to develop greener and socially sustainable software systems. (led by Luís Cruz)
Current Research Projects
Within our research lines, ongoing funded research projects include:
| Start | Name | Project Title | Funding | SERG Principal Investigators |
|---|---|---|---|---|
| 2021 | COSMOS | DevOps and testing for Cyber-physical systems | EU H2020 | Annibale Panichella |
| 2019 | AFR | AI for Fintech Research | ING | Arie van Deursen |
| 2019 | TestShift | A Socio-Technical Shift in Software Testing | NWO Vici | Andy Zaidman |
| 2019 | UBRI | Testing for Blockchain | Ripple | Annibale Panichella |
| 2019 | FASTEN | Fine-grained analysis of software ecosystems (FASTEN) | EU H2020 | Sebastian Proksch, Georgios Gousios |
| 2019 | ML4SSE | ML 4 Secure Software Engineering | EEMCS | Maurício Aniche, Arie van Deursen |
| 2018 | QIA | Quantum Internet Alliance | EU FET | Arie van Deursen |
| 2017 | MIPL | Mining Internet Payment Logs | NWO Big Software, Adyen | Arie van Deursen, Maurício Aniche |
| 2016 | DDS-ENG | Data Science Engineering Roadmap | Delft Data Science | Arie van Deursen, Georgios Gousios |
| 2015 | PCR | Persistent Code Reviews | NWO EW TOP1 | Arie van Deursen, Alberto Bacchelli |
| 2014 | TestRoots | Software evolution and developer testing | NWO Vidi | Andy Zaidman |
| 2013 | PROSE | Professionalizing Spreadsheet Engineering | STW, NWO TTW | Arie van Deursen, Felienne Hermans |
Past Research Projects
| Start | Name | Project Title | Funding | SERG Principal Investigators |
|---|---|---|---|---|
| 2016 | CodeFeedr | Next generation software analytics | NWO Big Software, SIG | Georgios Gousios |
| 2016 | STAMP | Software Testing Amplification for DevOps | EU H2020 | Arie van Deursen, Andy Zaidman |
| 2015 | BSR | Big Software on the Run | 3TU NIRICT | Arie van Deursen |
| 2017 | SASQ | Social Aspects of Software Quality | 4TU NIRICT | Andy Zaidman |
| 2016 | SENECA | Software Engineering in Enterprise Cloud Applications | EU Marie Curie | Arie van Deursen, Alberto Bacchelli |
| 2018 | IPE | Inclusive programming education for visually impaired children | NWO ZonMw InZicht | Felienne Hermans |
| 2017 | LPEE | Language and Programming in Elementary Education | NWO PVL | Felienne Hermans |
| 2016 | EPSS | End-user programming for Social Software | NWO PVL | Felienne Hermans |
| 2015 | LSSA | Large Scale Spreadsheet Analysis | BitBrains | Felienne Hermans |
| 2012 | GHTorrent | Mining software engineering data from GitHub | TU Delft, Microsoft | Georgios Gousios |
