Analysis of program differences with numerical abstract interpretation
We present work in progress on the static analysis of software patches. Given two syntactically close versions of a program, our analysis can infer a semantic difference, and prove that both programs compute the same outputs when run on the same inputs. Our method is based on abstract interpretation, and parametric in the choice of an abstract domain. At the moment, we focus on numeric properties only, on a toy language. Our method is able to deal with infinite-state programs and unbounded executions, but it is limited to comparing terminating executions, ignoring non terminating ones.
We first present a novel concrete collecting semantics, expressing the behaviors of both programs at the same time. We then show how to leverage classic numeric abstract domains, such as polyhedra or octagons, to build an effective static analysis. We also introduce a novel numeric domain to bound differences between the values of the variables in the two programs, which has linear cost, and the right amount of relationality to express useful properties of software patches. We implemented a prototype and experimented on a few small examples from the literature.
In future work, we will consider extensions to non purely numeric programs, towards the analysis of realistic patches.
Sat 6 Apr
|11:00 - 11:30|
|11:30 - 12:00|
|Link to publication Pre-print File Attached|
|12:00 - 12:30|