DocumentCode
670242
Title
Estimation of legacy application upgrade time using evolutionary approach
Author
Fornadel, Michal ; Lacko, Peter ; Danko, Andrej
Author_Institution
Fac. Inf. & Inf. Tech., Slovak Univ. of Technol., Bratislava, Slovakia
fYear
2013
fDate
19-21 Nov. 2013
Firstpage
493
Lastpage
498
Abstract
The paper proposes an approach for predicting application upgrade time that is being upgraded from one version to another. The focus is primarily concentrated on applications with upgrades consisting mainly of upgrading the relational database. Chosen application databases have the same schema but the content of tables varies. Data from the upgrades are processed and the proposed solution predicting duration of upgrade for the database which is set to be upgraded provides an estimation whose accuracy is dependent on the number of performed upgrades. The solution is demonstrated on particular enterprise application.
Keywords
enterprise resource planning; evolutionary computation; relational databases; enterprise application databases; evolutionary approach; legacy application upgrade time estimation; legacy application upgrade time prediction; relational database; Accuracy; Biological cells; Business; Databases; Equations; Estimation; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4799-0194-4
Type
conf
DOI
10.1109/CINTI.2013.6705247
Filename
6705247
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