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pro vyhledávání: '"Quante, Jochen"'
Modern automotive software is highly complex and consists of millions lines of code. For safety-relevant automotive software, it is recommended to use sound static program analysis to prove the absence of runtime errors. However, the analysis is ofte
Externí odkaz:
http://arxiv.org/abs/2310.16468
Autor:
Heidrich, Jens, Kläs, Michael, Morgenstern, Andreas, Antonino, Pablo Oliveira, Trendowicz, Adam, Quante, Jochen, Grundler, Thomas
In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is becoming even more crucial. In practice, however, we still find a largel
Externí odkaz:
http://arxiv.org/abs/2110.14301
Autor:
Quante, Jochen, Koschke, Rainer
Publikováno v:
In The Journal of Systems & Software 2008 81(4):481-501
Akademický článek
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Autor:
Quante, Jochen
Publikováno v:
2016 IEEE 16th International Working Conference on Source Code Analysis & Manipulation (SCAM); 2016, p91-96, 6p
Publikováno v:
2016 IEEE Ninth International Conference on Software Testing, Verification & Validation Workshops (ICSTW); 2016, p269-274, 6p
Towards recovering and exploiting domain knowledge from C code: A case study on automotive software.
Publikováno v:
2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering & Reverse Engineering (CSMR-WCRE); 2014, p383-386, 4p
Autor:
Quante, Jochen
Publikováno v:
11th European Conference on Software Maintenance & Reengineering (CSMR'07); 2007, p345-348, 4p
Autor:
Quante, Jochen
Publikováno v:
11th European Conference on Software Maintenance & Reengineering (CSMR'07); 2007, p113-122, 10p