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
Link To Document :
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