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SOFTWARE ENGINEERING

AAU1/...Department of Informatics Systems2/Software Engineering Research Group3/Research4/Projects

Projects

Current Projects

Responsible Safe and Secure Robotic Systems Engineering (SEEROSE)

Project Leadership

Rainer Alexandrowicz, Larissa Krainer, Martin Pinzger, Stefan Rass

Project Staff

Nicole Duller, Christina Glasauer, Tareq Mohammed Nazir, Jasmin Wachter

Duration

01.01.2021 - 31.12.2024

SEEROSE features four Ph.D. projects: The goal of the Ph.D. project DevSafe is to provide techniques and tools to support developers to responsibly develop and evolve safe and secure robotic systems. The goal of the Ph.D. project INBASE-GET is to provide mechanisms for incentivizing developers and robot collaborators to use and follow security precautions out of their own interests. The goal of the Ph.D. project SCoRE is to provide an instrument for the psychological assessment of the core qualifications relevant to robotics engineers. And finally, the goal of the Ph.D. project CERSE is to provide a guideline for the implementation of a process-ethical procedure for distributed assumption of responsibility in safe and secure robotic systems engineering.

Coorperation Partner

Further Information

Change Analyses in Microservice-Based Systems

Project Leadership

Martin Pinzger

Project Staff

Andreas Kopeinig, Christian Macho, Fabian Oraze

Duration

01.10.2020 - 31.03.2023

Funding

Österreichische Forschungsförderungsgesellschaft mbH (FFG)

Ziel des Projekts ist die Entwicklung eines Tools zur Extraktion und Klassifikation von Aenderungen in der Implementierung von Microservices, insbesondere Microservices, die mit node.js und Angular implementiert worden sind. Im ersten Schritt wird ein Parser entwickelt, der Typescript Code parsen kann. Im nächsten Schritt werden wir unseren IJM Ansatz erweitern, um Änderungen im Source Code zu extrahieren. Im dritten Schritt werde wir Regeln implementiert, welche die extrahierten Änderungen verlinken und klassifizieren. Hierbei werden wir unsere Taxonomy für die Klassifizierung von Änderungen in Java Code angepassen bzw. erweitern. Im letzten Schritt werden wir unsere Lösungen in einer empirischen Studie mit einer Menge von Open-Source Projekten evaluieren.

Coorperation Partner
  • Software Competence Center Hagenberg

Further Information

Finished Projects

SoftwareDynamics2: Fine-Grained Evolution of Software Behavior

Project Leadership

Martin Pinzger

Project Staff

Thomas Grassauer, Veit Frick

Duration

15.07.2016 - 21.06.2021

Funding

Fonds zur Förderung der wissenschaftlichen Forschung (FWF)

SoftwareDynamics2: Fine-Grained Evolution of Software Behavior. In this joint-project between the University of Stuttgart and the Alpen-Adria University Klagenfurt, we will investigate novel methods and techniques to analyze and visualize the impact of specific code changes on the dynamic behavior of a software system, and to find causes for specific changes of dynamic behavior in the evolution of a software system.

Coorperation Partner

University of Duisburg-Essen

Further Information

Strategic Software Engineering

Project Leadership

Martin Pinzger

Project Staff

Stefanie Beyer, Bernhard Jahrer

Duration

01.10.2019 - 30.06.2020

Funding

Österreichische Forschungsförderungsgesellschaft mbH (FFG)

The goal of this project is to investigate an approach for versioning posts on Stack Overflow that deal with questions related to using an API. The main idea is to parse the code snippets in posts to infer the minimum and maximum API version and add this information to the posts. This information can help Stack Overflow users to filter posts and answers that might not be valid for a particular API version. Furthermore, it can help Stack Overflow to indicate outdated answers or answers that should be updated

Coorperation Partner
  • Software Competence Center Hagenberg

Further Information

Safe-RTSE: Safe Round-Trip Software Engineering for Improving the Maintainability of Legacy Software Systems

Project Leadership

Martin Pinzger

Project Staff

Giovanni Liva

Duration

01.11.2015 - 30.04.2019

Funding

Österreichische Forschungsförderungsgesellschaft mbH (FFG), XAUTOMATA TECHNOLOGY GmbH

Safe Round-Trip Software Engineering for Improving the Maintainability of Legacy Software Systems. In this project we aim at investigating methods and techniques to reverse engineer "formal models" from existing systems based on rewriting logic capturing explicit and implicit aspects of the original system. We claim that by using formal reasoning techniques on top of the extracted models the software engineer can first express a formal property that the system exhibits before re-engineering, and later check it against the re-engineered models representing the system design.

Coorperation Partner

XAUTOMATA TECHNOLOGY GmbH and Università Politecnica delle Marche

Further Information

Value-Network Süd – IT enabled Eco Systems

Project Leadership

Martin Pinzger

Project Staff

Klaus Schöffmann, Gerhard Leitner, Anton Josef Fercher, Christian Macho, Stefanie Beyer, Stefan Rass, Peter Schartner, Kerstin Smounig, Wolfgang Schmid

Duration

01.01.2017 - 31.03.2020

Funding

Österreichische Forschungsförderungsgesellschaft mbH (FFG)

The qualification network V-Net – IT enabled Eco Systems provides training for key personnel in South Styrian and Carinthian companies, preparing them to meet the new challenges and develop key competences that allow them to sell IT as a commodity, develop modern, web-based software and understand consumerism.

For more information see Value-Network Süd - IT enabled Eco Systems

Coorperation Partner

Technische Universität Graz, Life Long Learning; Karl-Franzens-Universität Graz, UNI for LIFE GmbH

Further Information

Allegio: Composable Embedded Systems for Healthcare

Project Leadership

Univ.-Prof. Dipl.-Ing. Dr. Martin Pinzger

Project Staff

Martin Pinzger, Nicolas Dintzner, and Arie van Deursen

Duration

March 2011 - 2015

Funding

ICTRegie FES COMMIT

The objective of this project is to define an integrated set of methods and techniques that supports a systematic “Right by Design” component-based software design approach for complex embedded systems. This ensures that incremental changes become predictable and meet the required system qualities such as performance and safety. The Allegio project addresses the following key research questions:

  • How to decompose systems into components such that the global system requirements can be derived from the properties of the components? What are appropriate coherent systems views to reasons about various system qualities such as evolvability, performance and safety?
  • How to define interfaces of components that enable verifiable composition, re-use, configuration management, and replacement? How to include evolvability and safety aspects and how to characterize performance in a modular way?
  • How to reason about correctness aspects of large complex embedded systems. How to analyze the trade-off between system qualities early in the design process?
  • How do model-based verification techniques relate to model-based testing? What is the relation between the models that are suitable for these techniques? Does the verification reduce the testing effort? Can the testing results improve the scalability of the model checking techniques?
Coorperation Partner

SERG/TU Delft, Embedded Systems Institute (ESI), Philips Healthcare (iXR R&D), the University of Twente (DACS and DE), and the Eindhoven University of Technology (DAS)

ReSOS: Re-engineering Service-Oriented Systems

Project Leadership

Univ.-Prof. Dipl.-Ing. Dr. Martin Pinzger

Project Staff

Martin Pinzger, Arie van Deursen, Daniele Romano, Joost Visser, Eric Bouwers, Joost Koedijk, Yaroslav Usenko, Erwin Reinhoud

Duration

November 2010 - 2014

Funding

NWO Jacquard

In recent years, companies and government organizations have installed Software as a Service (SaaS) and Service-Oriented Systems (SOS). While services are in place and run, companies face a number of problems, basically, due to continuing growth and increasing complexity of their systems. The ReSOS project tackles these problems by means of detecting and re-engineering shortcomings in the design and implementation of service-oriented systems.
In particular, we will investigate:

  • Meta-models and reverse engineering techniques for service-oriented systems
  • SOS specific quality attributes and metrics
  • SOS anti-pattern detection strategies
  • (Semi-)automated re-factoring techniques to resolve SOS anti-patterns
Coorperation Partner

TU Delft, Software Improvement Group, and KPMG CT IT

A complete list of research projects can be found at the Research Information System of the Alpen-Adria-Universität.

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