Intervention of knowledge flows in software process mining projects

Knowledge flows permit to analyze the type and sources of knowledge, and the way in which knowledge flows or is managed within an organization. This paper presents how a knowledge flow approach implemented in a process mining project, which analyzes process instances, supports the categorization of...

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Bibliographic Details
Published in2022 IEEE Mexican International Conference on Computer Science (ENC) pp. 1 - 8
Main Authors Urrea-Contreras, Silvia Jaqueline, Astorga-Vargas, Maria Angelica, Flores-Rios, Brenda L., Ibarra-Esquer, Jorge E., Gonzalez-Navarro, Felix Fernando
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.08.2022
Subjects
Computational modeling
Computer science
Data mining
knowledge flows
knowledge management
Process control
process mining
Software
Software engineering
software project
Visualization
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Summary:Knowledge flows permit to analyze the type and sources of knowledge, and the way in which knowledge flows or is managed within an organization. This paper presents how a knowledge flow approach implemented in a process mining project, which analyzes process instances, supports the categorization of the different types and assets of knowledge stored in the repositories of software development organizations. In addition, it provides information for the roles involved in improvement cycles to make strategic decisions based on the types of mining (process discovery, conformance checking and process improvement). We present the implementation of the intervention methodology for the identification of processes, flows and types of knowledge with the objective of strengthening and validating the compliance of software processes. These results were validated with an experience report on the analysis of knowledge flows in a Mexican software development company implementing a Process Mining project.
ISSN:2332-5712
DOI:10.1109/ENC56672.2022.9882931