Sciweavers

Share
ECOOP
2011
Springer

Tunable Static Inference for Generic Universe Types

7 years 10 months ago
Tunable Static Inference for Generic Universe Types
Object ownership is useful for many applications, including program verification, thread synchronization, and memory management. However, the annotation overhead of ownership type systems hampers their widespread application. This paper addresses this issue by presenting a tunable static type inference for Generic Universe Types. In contrast to classical type systems, ownership types have no single most general typing. Our inference chooses among the legal typings via heuristics. Our inference is tunable: users can indicate a preference for certain typings by adjusting the heuristics or by supplying partial annotations for the program. We present how the constraints of Generic Universe Types can be encoded as a boolean satisfiability (SAT) problem and how a weighted Max-SAT solver finds a correct Universe typing that optimizes the weights. We implemented the static inference tool, applied our inference tool to four real-world applications, and inferred interesting ownership structur...
Werner Dietl, Michael D. Ernst, Peter Müller
Added 19 Dec 2011
Updated 19 Dec 2011
Type Journal
Year 2011
Where ECOOP
Authors Werner Dietl, Michael D. Ernst, Peter Müller
Comments (0)
books