Research Projects
Our research can be divided into the following research lines:
- Artificial Intelligence and Machine Learning for Software Engineering: How can techniques from artificial intelligence and machine learning be used to improve complex software development tasks? (led by Georgios Gousios, Maurício Aniche, Annibale Panichella)
- DevOps: To understand and improve the modern CI/CD and DevOps practices. (led by Sebastian Proksch, Arie van Deursen)
- Software Engineering for Fintech: Develop methods, tools, and technologies to radically innovate the software-intensive financial sector. (led by Arie van Deursen)
- 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 Georgios Gousios)
- Software Refactoring: The investigation of automated techniques for software refactoring recommendation, the understanding of the role of software refactoring in large and complex software systems, and the investigation and the proposal of context-based software (anti-)patterns. (led by Maurício Aniche)
- Software Quality: Help developers in improving the internal and external quality of their software systems. (led by Andy Zaidman and Annibale Panichella)
Current Research Projects
Within our research lines, ongoing funded research projects include:
| Start | Name | Project Title | Funding | SERG Principal Investigators |
|---|---|---|---|---|
| 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 | 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 | CodeFeedr | Next generation software analytics | NWO Big Software, SIG | Georgios Gousios |
| 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 |
| 2012 | GHTorrent | Mining software engineering data from GitHub | TU Delft, Microsoft | Georgios Gousios |
Past Research Projects
| Start | Name | Project Title | Funding | SERG Principal Investigators |
|---|---|---|---|---|
| 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 |
