Hanspeter Mössenböck, Christian Häubl, Christian Wimmer,
"Deriving code coverage information from profiling data recorded for a trace-based just-in-time compiler"
: PPPJ´13 Proceedings of the 2013 International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools, ACM New York, Seite(n) 1-12, 2013, ISBN: 9781450321112
Original Titel:
Deriving code coverage information from profiling data recorded for a trace-based just-in-time compiler
Sprache des Titels:
Englisch
Original Buchtitel:
PPPJ´13 Proceedings of the 2013 International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools
Original Kurzfassung:
Code coverage information is typically recorded by adding instru-
mentation to an application before or during execution. However,
this has the disadvantage that the instrumentation decreases the per-
formance.
A high-performance virtual machine (VM), such as Oracle?s
Java HotSpot VM, is already designed to record profiling data for
the executed application. This profiling data is intended to guide
optimizations during just-in-time (JIT) compilation. In this paper,
we propose a runtime system that allows deriving exact code cover-
age information from this recorded profiling data by guaranteeing
certain system properties. With this approach, we avoid the has-
sle of instrumenting the application explicitly. Therefore, we mini-
mize both the run-time overhead and the implementation effort for
recording code coverage information.
We implemented our approach for a variant of the Java HotSpot
VM that uses a trace-based JIT compiler. However, our approach is
simple and general enough to be applicable to most modern VMs.
Our evaluation with industry-strength benchmark suites shows that
this approach allows recording code coverage information while
retaining almost full peak performance. So, our approach is also
suitable for collecting code coverage information in day-to-day
operation environments such as long running server applications.
Forschungs-