Treffer: Complexity measures for concurrent programs based on information-theoretic metrics

Title:
Complexity measures for concurrent programs based on information-theoretic metrics
Source:
Information processing letters. 46(1):43-50
Publisher Information:
Amsterdam: Elsevier Science, 1993.
Publication Year:
1993
Physical Description:
print, 9 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Korea advanced inst. sci. technology, dep. computer sci., Taejon 305-701, Korea, Republic of
ISSN:
0020-0190
Rights:
Copyright 1993 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.4810404
Database:
PASCAL Archive

Weitere Informationen

We present a model and information-theoretic measures (entropy) which provide the complexity of concurrent programs. The information content, risk ratio and the amount of intertasking activity contained in a concurrent program are measured in terms of the information in the corresponding graph representation.