Generating precise and concise procedure summaries
Greta Yorsh, Eran Yahav, et al.
POPL 2008
We present a novel approach to client-side mining of temporal API specifications based on static analysis. Specifically, we present an interprocedural analysis over a combined domain that abstracts both aliasing and event sequences for individual objects. The analysis uses a new family of automata-based abstractions to represent unbounded event sequences, designed to disambiguate distinct usage patterns and merge similar usage patterns. Additionally, our approach includes an algorithm that summarizes abstract traces based on automata clusters, and effectively rules out spurious behaviors. We show experimental results mining specifications from a number of Java clients and APIs. The results indicate that effective static analysis for client-side mining requires fairly precise treatment of aliasing and abstract event sequences. Based on the results, we conclude that static client-side specification mining shows promise as a complement or alternative to dynamic approaches. © 2008 IEEE.
Greta Yorsh, Eran Yahav, et al.
POPL 2008
Christophe Dubach, Perry Cheng, et al.
PLDI 2012
Emmanuel Geay, Eran Yahav, et al.
PEPM 2006
Hana Chockler, Karine Even, et al.
ISSTA 2013