Causal inference is at the heart of empirical research in natural and social sciences and is
critical for scientific discovery and informed decision making. The gold standard in causal …

Automated program repair relying on static analysis complements test-driven repair, since it
does not require failing tests to repair a bug, and it avoids test-overfitting by considering …

Quantifying Causal Effects on Query Answering in Databases Page 1 Quantifying Causal
Effects on Query Answering in Databases Babak Salimi University of Washington February …

Causality has been recently introduced in databases, to model, characterize, and possibly
compute causes for query answers. Connections between QA-causality and consistency …

In this work we establish and investigate connections between causes for query answers in
databases, database repairs with respect to denial constraints, and consistency-based …

Formal feature explanations strictly maintain perfect conformity but are intractable to
compute, while heuristic methods are much faster but can lead to problematic explanations …

In this work we establish and investigate connections between causality for query answers
in databases, database repairs wrt. denial constraints, and consistency-based diagnosis …

Resilience problem is defined on a database d, given a boolean query q where q (d) is
initially true, and an integer k, it is to find the tuple set d′ of smallest size such that the query …

Causality has been recently introduced in databases, to model, characterize and possibly
compute causes for query results (answers). Connections between query-answer causality …

Causality is an important notion that appears at the foundations of many scientific
disciplines, in the practice of technology, and also in our everyday life. Causality is crucial to …