Research Spotlight

Software Architecture Knowledge Sharing with the Architecture Knowledge Base (AKB)

The Architecture Knowledge Base (https://akb.se.jku.at/ ) supports software architecture knowledge sharing based on architecture profiles and decision models. A video illustrating knowledge sharing in the AKB is available at https://files.se.jku.at/f/4cdd3a64de104b349d75/ .

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CDL MINT: Christian Doppler Laboratory for Model-Integrated Smart Production

The Christian Doppler Laboratory (CDL) Model-Integrated Smart Production (CDL-MINT) contributes to the foundations of software and systems modeling in general and in particular for smart Cyber Physical Production Systems (CPPS).

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Microservice Dashboard

A dashboard for microservice monitoring and management, which can be configured to stakeholder needs and which supports the integration of different backend systems.

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Variability Management in Software Product Lines

We report on a survey in which we analyzed 37 existing variability management tools identified using a systematic literature review to understand the tools’ characteristics, maturity, and the challenges in the field.

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Survey on Importance of Design Best Practices

When specifying the design of software, software engineers and architects – unintentionally or intentionally – follow design best practices. In order to identify practices that are considered to be important, a survey has been conducted.

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Newsfeed

  • MBSE Summit 2024

    June 10-11, 2024 in Traunkirchen, Oberösterreich.

  • MODELS 24

    The Institute of Business Informatics – Software Engineering is organizing the ACM / IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS) from 22-27 September 2024 in Linz. Details see MODELS’24


Department Overview

The Department of Business Informatics – Software Engineering was established in 1987 at the faculty of Social and Economic Sciences of Johannes Kepler University Linz. The department sees its mission in research and education in both Business Informatics and Software Engineering. Both fields are seen as interdisciplinary areas that must integrate technical, business management and social science contents.

The department conducts both application-oriented and basic research. Our research methods pursue an engineering-scientific approach; this means development from the exemplary, design-oriented and descriptive on to the fundamental, abstract and explanatory – in other words, from practice to theory.

We conduct the major share of our research and development projects in cooperation with other university and non-university research facilities and with companies. An important aspect of the strategic orientation of the department is its international networking with university and non-university research facilities and with partner companies.

Related Departments:  Department of Business Informatics - Communication Engineering, Department of Business Informatics - Data and Knowledge Engineering, Department of Business Informatics - Information Engineering