file:: [managingDataIntensiveEcosystems-chapter_1668416249546_0.pdf](../assets/managingDataIntensiveEcosystems-chapter_1668416249546_0.pdf)
file-path:: ../assets/managingDataIntensiveEcosystems-chapter_1668416249546_0.pdf

- the side effects on database design, querying, and maintenance are not well-known. 
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  id:: 63720458-b3d7-4755-85dd-f269baa9a5f2
- We cover different processes, including automatic database query extraction, bad smell detection, self-admitted technical debt analysis, and evolution history visualization.
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  id:: 6372046c-787f-4b27-b745-7500ae97a37d
- If the query is not well-formed or not handled correctly in the program code, it generates extra load on the database side that affects the application’s performance [1] [2].
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  id:: 63720515-20a3-424e-96ea-dca34bfecbb9
  hl-stamp:: 1668416793160
- discuss mining techniques
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  id:: 63720569-687e-4ca8-a1cc-ae12e194c16c
- static analysis and visualization techniques that exploit the mined information on the storage and manipulation of the ecosystem data
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  id:: 63720575-b6e6-42d9-a30d-b49ee8de4753
- findings 
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  id:: 6372057b-b341-4277-9ad6-a35da5a8c1aa
- concluding remarks
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  id:: 63720580-9947-4dbf-b009-ebb2f34c5ad8