Fast societal, economic, and technological changes demand a quick pace in developing and maintaining software systems. Therefore, our mission at the Software Engineering (SWE) research group of the InIT is to develop novel methods and tools to ensure rapid software development of high-quality software products. We are experts in the application of empirical software engineering methods and tools to ensure the successful development and transfer of our research products for and to industry. Currently, we focus on the following topics:
- Use Case-oriented Software Production and Model-Driven Engineering Tools
- Requirements Engineering
- Traceability Engineering
- Digitalisation of the Software Development Life Cycle
- Agile Software Development and Continuous Integration
- Virtual Tools for Collaboration in Software Engineering
- Test Automation
We work on these topics together with external business partners within national and international projects. Our research expertise is as well incorporated into the computer science degree program and is passed on to students in modules such as the software project, programming, software engineering, web development, and various elective modules like rapid software prototyping for engineering sciences, which involves students from other engineering programs like avionics and mechanical engineering.
Model-Driven Engineering (MDE) enables the automatic generation of software by means of incremental transformation of models (e.g., graphically represented as diagrams) specifying information systems’ business logic, data structures, business rules, graphical user interface, etc. Among other advantages, MDE approaches ensure code quality by supporting requirements engineering, allow high development speed, and foster separation of business logic from underlying platform technologies. We have extensive experience in developing MDE methods and tools that support object-oriented and domain-specific modelling languages.
We investigate and develop state of the art methods and tools to support the automation of the software development life cycle. Our methods aim at automating continuous integration and deployment activities. The core research activities of this line involve the application of virtual collaboration tools in software engineering, traceability engineering, and test automation.
The Virtual Software Engineering Lab provides the technical equipment to investigates the application of research prototypes developed at the SWE group in real world context. The lab has an interactive projector and diverse touch devices for evaluating new modelling languages, collaborative methods, or flexible modelling tools. To facilitate virtuality and its research in software engineering, the lab integrates a double robot, Microsoft HoloLens and Google Glass, and drones. Diverse equipment for empirical software engineering like microphones and cameras is also available.
Green and sustainable digitalization for the textile industry
By optimizing production in the textile industry, digitalization can help to reduce power consumption and thus, emissions of pollutants. Yet, digitalization itself creates emissions, e.g., by using powerful AI algorithms. There is currently no transparency for how digitalization investments can reduce emissions. The ...
Smart Hospital – Integrated Framework, Tools & Solutions (SHIFT)
Machine Learning for Software User Interface Testing
In this project, various technical aspects for tracing functional/non-functional requirements within user interface test cases were investigated. Originally, this project aimed to detect bugs in user interfaces automatically by using machine learning algorithms. During the execution of the project, we decided to ...
- Google Glass App
- AirTraffic LIVE
- AirTraffic Worldwide
- Blue Marble
Noel, Rene; Panach, Jose Ignacio; Ruiz, Marcela; Pastor, Oscar,
Ralyté, Jolita; Chakravarthy, Sharma; Mohania, Mukesh; Jeusfeld, Manfred A.; Karlapalem, Kamalakar, eds.,
41st International Conference on Conceptual Modeling (ER2022), Hyderabad, India, 17-20 October 2022.
Lecture Notes in Computer Science ; 13607.
Available from: https://doi.org/10.1007/978-3-031-17995-2_18
Mosquera, David; Ruiz, Marcela; Pastor, Oscar; Spielberger, Jürgen; Fievet, Lucas,
De Weerdt, Jochen; Polyvyanyy, Artem, eds.,
Intelligent Information Systems.
34th International Conference on Advanced Information Systems Engineering (CAiSE '22), Leuven, Belgium, 6-10 June 2022.
Lecture Notes in Business Information Processing ; 452.
Available from: https://doi.org/10.1007/978-3-031-07481-3_9
Wahler, Michael; Conte, Enrico; Frick, Martin; Mosquera, David; Ruiz, Marcela,
Bera, Palash; Dalpiaz, Fabiano; Wautelet, Yves, eds.,
Short Paper Proceedings of the First International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE 2022).
First International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE 2022), co-located with the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022) Leuven, Belgium, 6. June 2022.
RWTH Aachen University.
CEUR Workshop Proceedings.
Available from: https://doi.org/10.21256/zhaw-25019
Weichbrodt, Johann; Kropp, Martin; Biddle, Robert; Gregory, Peggy; Anslow, Craig; Bühler, Ursina Maria; Mateescu, Magdalena; Meier, Andreas,
Stray, Viktoria; Stol, Klaas-Jan; Paasivaara, Maria; Kruchten, Philippe, eds.,
Agile Processes in Software Engineering and Extreme Programming.
23rd International Conference on Agile Software Development (XP), Copenhagen, Denmark, 13-17 June 2022.
Lecture Notes in Business Information Processing ; 445.
Available from: https://doi.org/10.1007/978-3-031-08169-9_7
Mosquera, David; Ruiz, Marcela; Pastor, Oscar; Spielberger, Jürgen,
Guizzardi, Renata; Ralyté, Jolita; Franch, Xavier, eds.,
Research Challenges in Information Science.
16th International Conference on Research Challenges in Information Science (RCIS), Barcelona, Spain, 17-20 May 2022.
Lecture Notes in Business Information Processing ; 446.
Available from: https://doi.org/10.1007/978-3-031-05760-1_27