XITASO invests in research and innovation in order to be and to remain an excellent digitalisation partner. Our method is to examine future topics intensively with partners from the worlds of science and business and work out possible applications for our partners and ourselves. This is how we provide space for the best possible application-oriented research and a link to today’s and future markets.
Scientific excellence as well as national and international exchanges with the scientific community are as much part of research at XITASO as self organised work in an agile, company-wide research team. We are convinced: this is how today’s research creates tomorrow’s innovations.
What drives us
Our areas of technology
People-centered software engineering
The aim of our research is to be able to better develop sustainable software systems with intrinsic value. This also requires the continuous further development of methods, tools, and principles of software engineering.
AI and optimization
The use and combination of different AI and optimization technologies has great potential to not only improve technical systems, but also software engineering itself. One focus in this area is to integrate existing domain knowledge and models with data-based methods and to explore their application potential.
IoT and 5G
IoT architectures and technologies are an essential basis for future process improvements and new value creation models. In this context, future communication infrastructures such as 5G will enable new design and interaction patterns for software-intensive systems, the potential of which we are investigating and advancing.
Autonomous Robotics
In the future, robots will be more and more autonomous and will be present in more and more sectors of life in addition to industry; for example in logistics, agriculture, healthcare and in our everyday lives. At XITASO, we are therefore investigating how software solutions for safe, expectations compliant and user-friendly autonomous robot systems should look.
eXtended Reality
3D and eXtended reality technologies promise users an immersive experience. However, they require a new type of interaction design and suitable system architectures in order to be usable as an ideal connection between the physical and digital worlds.
Security by Design
Continuous networking requires the reconsideration of the security of technical systems and requires suitable methods and technologies for the design of secure software solutions.
A selection of current projects
T3 – Test the Test
The research project “Test the Test” (T3) has set itself the objectives of automatically evaluating the effectiveness of model, software and hardware tests and thereby improving the quality of said tests. With the aid of Fault Injection and Mutations, hardware interfaces, code and system models are deliberately and systematically seeded with errors, in order to evaluate corresponding tests regarding their quality and effectiveness in finding each and every error. The improvement of testing quality helps satisfy the ever-increasing quality demands of embedded systems.
AIPE (ACPEK) – Automated Commissioning through Persistence of Expert Knowledge
The objective of the project “Automated Commissioning through Persistence of Expert Knowledge” (ACPEK) is on the one hand the automation of fine adjustment of machine parameters through machine learning techniques. On the other hand, expert knowledge should be persisted mechanically in order to maintain it despite the demographic changes. The combination of both aspects makes it possible to simplify and accelerate the mechanical learning process with the aid of expert knowledge. The approach is evaluated on 3d printing that can be seen as a representative of manufacturing processes that are dependent on ambient conditions.
Our current projects
AI & Optimization
Intelligent scheduling of nursing staff
IoT & 5G
Facilitate the use of the Asset Administration Shell
AI & Optimization
Remedying anomalies by Knowledge-Infused Learning
AI & Optimization
Lifetime prediction for highly reliable electronic components
Security By Design
IT security through secure software development
Software Engineering
Mutation testing in embedded systems
AI & Optimization
Knowledge extraction from data for anomaly recovery
Autonomous Robotics
Fusing sensor data of autonmous vehicles and infrastructure
AI & Optimization
Intelligent planning of ICU resources
T3 – Test the Test
Das Forschungsvorhaben “Test the Test” (T3) hat sich zum Ziel gesetzt, die Effektivität von Model-, Software- und Hardwaretests automatisiert zu bewerten und damit die Qualität der Tests zu verbessern. Mithilfe von Fault Injection und Mutationen werden Hardwareschnittstellen, Code und Systemmodelle absichtlich und systematisch mit Fehlern behaftet, um entsprechende Tests hinsichtlich ihrer Qualität und Effektivität beim Auffinden eben jener Fehler bewerten zu können. Die Verbesserung der Testqualität hilft, den immer größer werdenden Qualitätsanforderungen eingebetteter Systeme zu genügen.
AIPE – Automatisierte Inbetriebnahme durch Persistierung von Expertenwissen
Ziel des Projekts „Automatisierte Inbetriebnahme durch Persistierung von Expertenwissen“ (AIPE) ist es zum einen, die Feineinstellung von Maschinenparametern durch maschinelle Lernverfahren zu automatisieren. Zum anderen soll Expertenwissen maschinell persistiert werden, um es trotz des demographischen Wandels erhalten zu können. Die Zusammenführung beider Bereiche ermöglicht es, die maschinellen Lernprozesse mithilfe des Expertenwissens zu vereinfachen und zu beschleunigen. Im Projekt wird 3D-Druck als Stellvertreter für Fertigungsprozesse untersucht, die von Umgebungseinflüssen abhängen.
HITSSSE – Höhere IT-Sicherheit durch Sichere Software Entwicklung
Ziel des Projekts HITSSSE ist die Verbesserung der IT-Sicherheit durch sichere Software-Entwicklung für kleine und mittlere Unternehmen. Generische Lösungsansätze sollen hier KMUs in Deutschland helfen, IT-Sicherheit kosteneffizient und einfach nutzbar zu machen. XITASO bringt seine Expertise als assoziierter Partner in dem Projekt ein.
A selection of our job vacancies
A selection of our publications
2023
- Creating Python-style Domain Specific Languages: A Semi-automated Approach and Intermediate Results.
Weixing Zhang, Regina Hebig, Jan-Philipp Steghöfer, Jörg Holtmann.
Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering (MODELSWARD). - Exploiting Meta-Model Structures in the Generation of Xtext Editors.
Jörg Holtmann, Jan-Philipp Steghöfer, Weixing Zhang.
Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering (MODELSWARD).
2022
- Predicting thermal resistance of solder joints based on Scanning Acoustic Microscopy using Artificial Neural Networks.
Andreas Zippelius, Tobias Strobl, Maximilian Schmid, Joseph Hermann, Alwin Hoffmann, Gordon Elger.
9th Electronics System-Integration Technology Conference (ESTC 2022). - Identifying security-related requirements in regulatory documents based on cross-project classification.
Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, and Riccardo Scandariato.
Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE’22), pp. 82-91. - A Closer Look at Sum-based Embedding Aggregation for Knowledge Graphs Containing Procedural Knowledge.
Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner.
6th International Workshop On Deep Learning For Knowledge Graphs (DL4KG) at the 21th International Semantic Web Conference (ISWC 2022).
PDF-Download - Towards Conceptual and Procedural Models of Operator Knowledge in Industrial Information Models.
Richard Nordsieck, Anton Hummel, Michael Heider, Alwin Hoffmann, Jörg Hähner.
First International Workshop On Semantic Industrial Information Modelling (SemIIM) at the 19th Extended Semantic Web Conference (ESWC 2022).
PDF-Download - Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing.
Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner.
2022 IEEE 16th International Conference on Semantic Computing (ICSC).
2021
- Learning Classifier Systems for Self-Explaining Socio-Technical-Systems.
Michael Heider, Richard Nordsieck, Jörg Hähner.
Proceedings of the LIFELIKE 2021 – 9th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS).
PDF-Download - CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling.
Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jörg Hähner.
International Conference on Informatics in Control, Automation and Robotics (ICINCO).
Link - Knowledge Extraction via Decentralized Knowledge Graph Aggregation.
Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner.
IEEE International Conference on Semantic Computing (ICSC).
PDF-Download
2020
- Evaluating the Effect of User-Given Guiding Attention on the Learning Process.
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner.
IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).
Link - Interactive Knowledge-Guided Learning.
Richard Nordsieck & Jörg Hähner.
IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C).
Link - Opportunities and Limitations of Mixed Reality Holograms in Industrial Robotics.
Michael Filipenko, Andreas Angerer, Alwin Hoffmann, Wolfgang Reif.
Factory of the Future: How to digitalize the robot-aided manufacturing process in Industry 4.0? Part of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
PDF-Download
2019
- Towards Automated Parameter Optimization by Persisting Expert Knowledge.
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner.
International Conference on Informatics in Control, Automation and Robotics (ICINCO).
PDF-Download
2018
- partsival – Collision-based Particle and many-body Simulations on GPUs for Planetary Exploration Systems.
Roy Lichtenheldt, Simon Kerler, Andreas Angerer, Wolfgang Reif.
Joint International Conference on Multibody System Dynamics (IMSD).
PDF-Download
Our partners
“We use research and innovation projects to explore the potentials of tomorrow’s technologies. For this purpose we network with strong partners and consciously invest in excellent young researchers.”
Dr. Andreas Angerer
Head of Research and Innovation
XITASO GmbH
Are you are interested in a project or do you have any other questions?
Dr. Andreas Angerer
Phone +49 821 885882-94
andreas.angerer@xitaso.com