2009
DOI: 10.1016/j.datak.2009.06.001
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Constraint acquisition for Entity-Relationship models

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Cited by 15 publications
(6 citation statements)
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References 93 publications
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“…Moreover, the work in [64] proposes an approach to infer OCL invariants from valid/invalid snapshots by checking the relevance of the generated outputs. Another work that is close in spirit to ours is discussed in [65], where a technique for supporting engineers in the definition of constraints for Entity-Relationship (ER) models is provided. From a broader perspective, we consider of direct relevance also the research in [66] by Alrajeh and colleagues, who proposed an approach to automatically diagnose and repair temporal logic software specifications based on the integration of model checking and machine learning.…”
Section: Approachmentioning
confidence: 96%
“…Moreover, the work in [64] proposes an approach to infer OCL invariants from valid/invalid snapshots by checking the relevance of the generated outputs. Another work that is close in spirit to ours is discussed in [65], where a technique for supporting engineers in the definition of constraints for Entity-Relationship (ER) models is provided. From a broader perspective, we consider of direct relevance also the research in [66] by Alrajeh and colleagues, who proposed an approach to automatically diagnose and repair temporal logic software specifications based on the integration of model checking and machine learning.…”
Section: Approachmentioning
confidence: 96%
“…In [80] the authors discuss the usefulness of illustrative examples for understanding and developing algorithms in general. An alternative approach towards constraint acquisition in semantic data models is proposed in [81]. That approach focuses on the repeated inspection of certain two-element sample relations rather than Armstrong relations.…”
Section: Related Work and Motivationmentioning
confidence: 99%
“…From a logical perspective, cardinality constraints have been dealt with. In one recent work [34], a logic-based propositional tool was presented for the acquisition of integrity constraints that are strongly linked with functional dependencies.…”
mentioning
confidence: 99%