Auto saved by Logseq

2025-06-02 17:15:13 +02:00
commit d9ea3d552d
6279 changed files with 711145 additions and 0 deletions
@@ -0,0 +1,39 @@
+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. 
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: purple
+  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.
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: purple
+  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].
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  id:: 63720515-20a3-424e-96ea-dca34bfecbb9
+  hl-stamp:: 1668416793160
+- discuss mining techniques
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  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
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  id:: 63720575-b6e6-42d9-a30d-b49ee8de4753
+- findings 
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  id:: 6372057b-b341-4277-9ad6-a35da5a8c1aa
+- concluding remarks
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  id:: 63720580-9947-4dbf-b009-ebb2f34c5ad8