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Instrumentation


Grey and black box approaches

Instrumentation is the second ingredient that lies at the heart of runtime monitoring. It refers to the extraction of information from executing software, following one of two approaches. In the grey box approach, instrumentation is implemented by weaving instructions that extract information, directly into the program under scrutiny. Alternatively, instrumentation can leverage an existing tracing infrastructure to collect information externally. In this manner, the program we want to observe is treated as a black box. As you might have guessed, the kind of information that we want extracted from programs is the sequence of events, i.e., the execution trace. Besides extracting the trace, the instrumentation reports the events to the analysis that then processes them to reach the monitoring verdicts we introduced previously.

detectEr implements three instrumentation methods: inline, outline, and offline instrumentation. Inline instrumentation, adopts the weaving approach, and is therefore the more invasive of the three. Outlining makes use of the native tracing infrastructure provided by the EVM, whereas offline instrumentation emulates this tracing set-up via the use of log files that act as a trace storage that can be replayed. detectEr preserves the separation of concerns that exists between the analysis and instrumentation. Indeed, the analysers that we generate via the function hml_eval:compile/2 can be readily used with any of the three instrumentation approaches, unless of course, the targeted function spawning processes differs.


Now we detail how these may be used via three different implementations of our calculator server example, starting with the inline approach.