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Linkage analysis of processes
Author(s) -
Yaung Alan T.,
Raz Tzvi
Publication year - 1992
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.4380221004
Subject(s) - linkage (software) , consistency (knowledge bases) , computer science , data mining , cluster analysis , process (computing) , measure (data warehouse) , complete linkage , artificial intelligence , programming language , biochemistry , chemistry , genotype , single nucleotide polymorphism , gene
This paper presents a methodology for the analysis of the linkage among the processes in an organization. The methodology has three main steps: model construction; connectivity analysis; and structure analysis. The model construction step generates a linkage matrix which is used in the following steps. The connectivity analysis is based on linkage consistency and interprocess coupling metrics, which are defined for each process individually and for all the processes in the organization as a group. The clustering algorithm is based on a linkage intensity measure derived from the linkage matrix. Following a detailed description of the methodology and its metrics and algorithms, the results obtained in a medium‐size software development organization are presented.