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My research focuses on easing the task of developing reliable and efficient software systems. I am particularly interested in static program analysis which combines two disciplines: automated theorem proving and abstract interpretation. In the next decade, I am hoping to develop useful techniques in order to change the ways modern software is built. I am particularly interested in proof automation, given a program and a requirement, automatically prove or disprove that all executions of the program satisfy the requirements. This problem is in general undecidable and untractable. I am interested in developing practical solutions to proof-automation by: (i) exploring modularity of the system and (ii) relying on semi-automatic and interactive process, where the user manually and interactively guides the proof automation, and (iii) simplifying the verification task by using domain-specific abstractions expressed in a decidable logic. I am applying these techniques to verify safety of liveness of distributed systems.
|POPL 2021||Learning the Boundary of Inductive Invariants|
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