Development of a Co-Evolution assistant to limit database decay
Author(s)
Weinberger, Rebecca E.
Download1193031504-MIT.pdf (1.032Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Michael R. Stonebraker.
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Show full item recordAbstract
There is currently a lack of informational tools to guide changes to database schemas in large-scale inormation systems. In practice, schema changes are made with relatively little regard for how they will impact the corresponding application code. Over time, this has been shown to cause an overall degradation of the quality of both the application code and the data stored in the database. We propose the Co-Evolution Assistant, a tool made specifically to fill this need for more impact visibility when making such structural changes in the database. Given a proposed schema change, we show how the Co-Evolution Assistant is able to provide a comprehensive analysis of the impact of that change, allowing system maintainers to make the best-informed decision. We then validate the performance of the tool on a real-world industrial codebase.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (page 65).
Date issued
2020Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.