A novel industry grade dataset for fault prediction based on model-driven developed automotive embedded software

IEEE International Working Conference on Mining Software Repositories

Volumn 2015-August, Issue , 2015, Pages 494-497

  Altinger, Harald ^a   Siegl, Sebastian ^a   Dajsuren, Yanja ^b   Wotawa, Franz ^c  

^a AUDI ELECTRONICS VENTURE GMBH   (Germany)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Automotive; Fault prediction; Industry dataset; Model metrics; Source metrics

Indexed keywords

MATLAB; SOFTWARE DESIGN; SOFTWARE ENGINEERING; SOFTWARE TESTING;

AUTOMOTIVE; BACKGROUND INFORMATION; DEVELOPMENT PROCESS; FAULT PREDICTION; INDUSTRY STANDARDS; ISSUE TRACKING; MATLAB/SIMULINK MODELS; SOURCE METRICS;

C (PROGRAMMING LANGUAGE);

EID: 84957093116     PISSN: 21601852     EISSN: 21601860     Source Type: Conference Proceeding    
DOI: 10.1109/MSR.2015.72     Document Type: Conference Paper

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