Juggling with Data: On the Lack of Database Monitoring in Long-Living Software Systems

Zirkelbach, Christian (2017) Juggling with Data: On the Lack of Database Monitoring in Long-Living Software Systems [Paper] In: 4th Collaborative Workshop on Evolution and Maintenance of Long-Living Software Systems (EMLS), 21th February 2017, Hannover, Germany.

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Abstract

Long-living software systems often challenge associated software engineers and operators with changing requirements or increasing workload. In addition, performance issues or customer requests may cause inevitable software updates or refactoring tasks. These legacy systems are often based on outdated technologies and are poorly documented. In combination with insufficient knowledge of the (actual) system, the necessary transformations can be difficult. While the described situation is discussed in the software engineering community, databases are rarely covered. As databases are an essential part in almost every software system, they are affected by evolutionary tasks as well and have to face the same challenges. In this paper, we (i) describe problems based on non-existing database monitoring in long-living software systems and (ii) propose an approach as a solution, which addresses the described problems, and supports developers and operators in performing evolutionary tasks alike. Finally, we conclude and delineate open questions concerning our envisioned approach.

Document Type: Conference or Workshop Item (Paper)
Keywords: Database Monitoring
Research affiliation: Kiel University > Faculty of Engineering > Department of Computer Science > Software Engineering
ISSN: 0720-8928
Projects: ExplorViz
Date Deposited: 04 Apr 2017 17:17
Last Modified: 10 Aug 2017 12:53
URI: http://eprints.uni-kiel.de/id/eprint/37440

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