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Using self-healing to increase robustness of handling in-browser third-party content

Paper i proceeding
Författare Sara Nadi
Jimmy Hedström
Miroslaw Staron
Publicerad i Proceedings - 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018
Publiceringsår 2018
Publicerad vid Institutionen för data- och informationsteknik (GU)
Institutionen för data- och informationsteknik, Software Engineering (GU)
Software Center
Språk en
Ämnesord Evolution, MAPE-K, Web systems
Ämneskategorier Programvaruteknik, Datorsystem

Sammanfattning

© 2018 IEEE. Monitoring of third-party content, such as ads, in web applications is one of the growing business areas in the web industry. In order to increase the impact of the ads and optimize the content on the web-page, companies measure which ads are displayed and how long they stay on the visible part of the screen. However, the challenge is that the third-party content can be of varying type, come from third-party servers or have active content. In this paper, we applied self-healing MAPE-K model in a monitor of the ads. Our results showed that the majority of faults could be repaired and that the resulting architecture is more maintainable than the one without self-healing; measured by architecture maintainability index. Therefore, we conclude that using self-healing can be applied to web-systems can increase both robustness and maintainability of these systems.

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