Master's thesis: Scala code quality metrics (multi paradigm)
We have shown that we are able to use existing object oriented and functional metrics to predict bug density in Scala projects. This means there is a relation between different metrics and the possibility of bugs. Extend this research to give a quality score for Scala source code.Solliciteer direct
- Software Architecture
- Software Development Methodologies
- Artificial Intelligence
What do you get
- A challenging assignment within a practical environment
- Professional guidance
- Courses aimed at your graduation period
- Support from our academic Research center at your disposal
What you will do
- 65% Research
- 10% Analyze, design, realize
- 25% Documentation
Scala is gaining more traction as a programming language for large software systems, it is used in companies such a Netflix and Twitter and is the base for many great products.
Libraries such a Finagle and Akka are being used in many JVM based products. The quality of such core components and large software systems needs to be guaranteed. For Java and other object oriented and functional programming languages code quality metrics and guidelines are available. Unfortunately for Scala, a multi paradigm programming language, this is not yet the case. We would like to research code quality metrics and guidelines for Scala. Since Scala is a multi-paradigm language, we can use research for both objected oriented and functional programming languages.
Previously, we have shown that we are able to use existing object oriented and functional metrics to predict bug density in Scala projects. This means there is a relation between different metrics and the possibility of bugs. Additionally, we identified constructs and metrics in Scala that are prone to bugs. We would like to extend this research to be able to pinpoint such constructs in Scala code as part of code analysis in a continuous integration pipeline.
About Info Support Research Center
We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.
Read more about Info Support Research here.
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Assessment van professionele kennis en persoonlijkheid (capaciteit, competenties en motieven).
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