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Large enterprise level systems often have their own application software layer wrapped over large software tools or products from commercial vendors. From time to time, vendors release patches which update or enhance the products to meet various requirements. However, applying the patches often introduces risk that the wrapper software layer might behave incorrectly, especially if the customer has little knowledge of the linkage between the application layer and the vendor provided system (for example, because the application itself is a legacy system). So there is always the need for…mehr

Produktbeschreibung
Large enterprise level systems often have their own application software layer wrapped over large software tools or products from commercial vendors. From time to time, vendors release patches which update or enhance the products to meet various requirements. However, applying the patches often introduces risk that the wrapper software layer might behave incorrectly, especially if the customer has little knowledge of the linkage between the application layer and the vendor provided system (for example, because the application itself is a legacy system). So there is always the need for analyzing the impact of patches and reducing the risk in applying them. Impact analysis depends on two sources of knowledge -- the physical modifications made by a patch and a dependency graph of the entities in the system. This thesis provides an empirical approach to finding modifications and generating dependency graphs that can be used for impact analysis.
Autorenporträt
Asif Iqbal ist Doktorand am Baumwollforschungsinstitut des CAAS in China. Zuvor studierte er in Pakistan an der UAP, KPK, wo er zwei Abschlüsse, BSc. und MSc. in Agronomie, mit einer Goldmedaille erhielt. Er ist Autor und Mitautor von mehr als 30 Zeitschriftenartikeln, 6 Konferenzberichten und Zusammenfassungen, 2 Kapiteln und 4 Artikeln für Landwirte.