In traditional program verification, the goal is to automati- cally prove whether a program meets a given property. However, in some cases one might need to prove that a (potentially infinite) set of programs meets a given property. For example, to establish that no program in a set of possible programs (i.e., a search space) is a valid solution to a synthesis problem specification, e.g., a property φ, one needs to verify that all programs in the search space are incorrect, e.g., satisfy the property ¬φ. The need to verify multiple programs at once also arises in other domains such as reasoning about partially specified code (e.g., in the presence of library functions) and self-modifying code. This paper discusses our recent work in designing systems for verifying properties of infinitely many programs at once

Loris D’Antoni is an Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. His research is centered around building fundamental verification and synthesis techniques that help programmers write software that meets their intent. He has won the Phillip R. Certain-Gary D. Sandefur Letters & Science Distinguished Faculty Award, an NSF CAREER Award, the Microsoft Research Faculty Fellowship, Google and Facebook Faculty Awards, and the Morris and Dorothy Rubinoff Dissertation Award. Loris received his Bachelor and master’s in computer science from the University of Torino in 2008 and 2010, respectively, and his PhD in Computer Science from the University of Pennsylvania in 2015.