Predicting and evaluating software model growth in the automotive industry

Proceedings - 2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017

Volumn , Issue , 2017, Pages 584-593

  Schroeder, Jan ^a   Berger, Christian ^a   Knauss, Alessia ^a   Preenja, Harri ^a   Ali, Mohammad ^a   Staron, Miroslaw ^a   Herpel, Thomas ^b  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b AUTOMOTIVE SAFETY TECHNOLOGIES GMBH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOTIVE INDUSTRY; COMPUTER SOFTWARE SELECTION AND EVALUATION; FORECASTING; LEARNING SYSTEMS; MAINTENANCE;

AUTOMOTIVE MANUFACTURERS; DEVELOPMENT PROCESS; EVALUATING SOFTWARE; INDUSTRIAL CASE STUDY; INDUSTRIAL PRACTICES; INDUSTRIAL SETTINGS; PREDICTION ACCURACY; STATISTICAL APPROACH;

COMPUTER SOFTWARE MAINTENANCE;

EID: 85040557409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSME.2017.41     Document Type: Conference Paper

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