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Projects / Programmes source: ARIS

Incompetent - intelligent computer support for method engineering

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Research activity

Code Science Field Subfield
2.07.05  Engineering sciences and technologies  Computer science and informatics  Information systems - software 

Code Science Field
P175  Natural sciences and mathematics  Informatics, systems theory 
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
software design, method engineering, MetaMet, artificial iIntelligence
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (2)
no. Code Name and surname Research area Role Period No. of publications
1.  03782  PhD Peter Kokol  Computer science and informatics  Head  1998 - 2001  1,222 
2.  17876  PhD Milan Zorman  Computer science and informatics  Researcher  2000 - 2001  353 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,550 
Abstract
A recent promising software design approach is called ''''Method Engineering''''. It is based on the emerging view that software design processes need to be engineered to fulfil the requirements of the design situation. The aim of the proposed project is combine the Method Engineering with MetaMet and to develop intelligent computorised support for their successful use. The tools will be based on evolutionary programming, automated learning and decision trees.
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