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Mon 19 Jun 2017 17:00 - 17:30 at Vertex WS216 - Afternoon II Chair(s): Olivier Zendra

A wide range of optimizations and program analyses, including bug finding by means of escape or race analyses, need accurate pointer information. Since accuracy takes time, there is a need for a fast incremental pointer analysis that re-uses prior results and only re-analyzes program changes and their effects instead of the whole program.

We present such an incremental pointer analysis that employs novel diff graphs to represent how a method accesses and/or modifies memory. Regardless of the number of call sites, we only need to analyze a method once; the resulting diff-graph is then used at every call site. If a method changes, we re-generate its diff-graph, and (unless its diff-graph stays the same) its callers’ diff graphs, and so on.

Our algorithm is flow sensitive and context insensitive, does not leak information between call sites, can perform strong updates, and is fast (14 000 LOC with 25 000 bytecode instructions in 2 minutes). When used incrementally for each of the commits of an open-source software repository our incremental approach derives more precise pointer information than established (full) analyses like Spark – albeit in about the same time.

preprint (a5-krainz.pdf)227KiB

Mon 19 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:00 - 18:00
Afternoon IIICOOOLPS at Vertex WS216
Chair(s): Olivier Zendra
16:00
60m
Other
Panel: Do new Computing Environments lead to new Language Constructs?
ICOOOLPS
Eric Jul University of Oslo, Edd Barrett King's College London, Steve Blackburn Australian National University , Ben L. Titzer Google
17:00
30m
Talk
Diff Graphs for a fast Incremental Pointer Analysis
ICOOOLPS
Jakob Krainz Friedrich-Alexander University Erlangen-Nürnberg, Michael Philippsen
Link to publication DOI File Attached
17:30
30m
Demonstration
A Formalization IDE Integrated with a Verifying Compiler
ICOOOLPS
Daniel Welch Clemson University, Blair Durkee Clemson University, Mike Kabbani Clemson University, Murali Sitaraman Clemson University
Link to publication DOI File Attached