Engineering Support for Autonomous Systems

Project: Contract researchIndustry project

Project Details

Description

Digitalization is about to provide digital platforms for almost every aspect of life. In this project, we want to look beyond this area with a focus on development efficiency. The current believe/hypothesis is that an area of autonomous systems that drive autonomous or algorithm based businesses is next. In some areas this is already standard like financial trading platforms, search engines etc. To efficiently upgrade digital platforms to autonomous systems and their high frequent adaption new development methods need to be found. As one fundamental challenge, we must understand what customers, domains and industries need, which functionality is to be provided by our systems. Knowing this core and being able to base decisions upon this core gives us a fundamental lever for efficiently using development resources. Due to the impact of autonomous systems on our daily life, we must foster automatic measurement and evaluation of software quality with an emphasis on reliability, maintainability and correctness. Furthermore, the business need to deploy software at high pace additionally fuels the need for automatic software quality checks beyond dynamic testing, but also including analysis techniques for all types of work products as early as possible in the development process.
StatusFinished
Effective start/end date01.10.201730.09.2018

Collaborative partners

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 202005 Computer architecture
  • 102027 Web engineering
  • 102 Computer Sciences
  • 202022 Information technology
  • 502032 Quality management
  • 207409 Navigation systems
  • 502050 Business informatics
  • 102020 Medical informatics
  • 102011 Formal languages
  • 102022 Software development
  • 102002 Augmented reality
  • 201305 Traffic engineering
  • 102015 Information systems
  • 102040 Quantum computing 
  • 102016 IT security
  • 503015 Subject didactics of technical sciences
  • 509026 Digitalisation research
  • 102034 Cyber-physical systems

JKU Focus areas

  • Digital Transformation
  • Assessing and Evaluating Functional Suitability of Software

    Haindl, P., Sept 2018, International Conference on Automated Software Engineering (ASE 2018), Doctoral Symposium, September 3-7, Montpellier, France, IEEE, 2018. p. 920-923 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review