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{{Short description|Modification of software to allow for analysis}}
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In [[computer programming]], '''instrumentation''' is the act of modifying software so that [[analysis]] can be performed on it.<ref>A. Sabetta and H. Koziolek, “Measuring Performance Metrics: Techniques and Tools,” in Dependability metrics. Springer, 2008, pp. 226–232.</ref>
Generally, instrumentation either modifies [[source code]] or [[binary code]]. Execution environments like the JVM provide separate interfaces to add instrumentation to program executions, such as the [[Java_Virtual_Machine_Tools_Interface|JVMTI]], which enables instrumentation during program start.
▲* [[Debugging]] and (structured) [[exception handling]] - tracking down and fixing programming errors in an application under development.<ref>{{cite web|url=http://www.drdobbs.com/architecture-and-design/commenting-testing-and-instrumenting-cod/229300224|title=Commenting, Testing, and Instrumenting Code|date=January 3, 2011|accessdate=January 29, 2014}}</ref>
▲* [[Profiling (computer programming)]] - a means by which dynamic program behaviors can be measured during a training run with a representative input. This is useful for properties of a program which cannot be [[static program analysis|analyzed statically]] with sufficient precision, such as [[alias analysis]].
Instrumentation can include:
* [[Tracing (software)|Logging events]] such as failures and operation start and end <ref>[http://pic.dhe.ibm.com/infocenter/rtrthelp/v8r0m0/index.jsp?topic=%2Fcom.ibm.rational.testrt.doc%2Ftopics%2Fcinstruovw.html Source Code Instrumentation Overview at IBM website]</ref>
* Measuring and logging the duration of operations
== Limitations ==
Instrumentation is limited by execution coverage.
Instrumentation increases the execution time of a program. In some contexts, this increase might be dramatic and hence limit the application of instrumentation to debugging contexts. The instrumentation overhead differs depending on the used instrumentation technology.<ref>Reichelt, D. G., Bulej, L., Jung, R., & van Hoorn, A. (2024, May). Overhead Comparison of Instrumentation Frameworks. In Companion of the 15th ACM/SPEC International Conference on Performance Engineering (pp. 249-256).</ref>
==See also==
* [[Hooking]] – range of techniques used to alter or augment the behavior of an operating system, of applications, or of other software components by intercepting function calls or messages or events passed between software components.
* [[Instruction set simulator]]
* [[Runtime intelligence]]
* [[Software performance analysis]]
* [[Hardware performance counter]]
* [[DTrace]] – A comprehensive dynamic tracing framework for troubleshooting kernel and application problems on production systems in real time, implemented in [[Solaris (operating system)|Solaris]], [[macOS]], [[FreeBSD]], and many other platforms and products.
* [[Application Response Measurement]] - standardized instrumentation [[Application programming interface|API]] for [[C (programming language)|C]] and [[Java (programming language)|Java]]▼
* [[Java Management Extensions|''Java Management Extensions'' (JMX)]] – Java technology for managing and monitoring applications, system objects, devices (such as printers), and service-oriented networks.
▲* [[Application Response Measurement]]
* [[Dynamic recompilation]] – a feature of some emulators and virtual machines where the system may recompile some part of a program during execution.
==References==
{{reflist}}
* [http://msdn.microsoft.com/en-us/library/aa983649(VS.71).aspx Introduction to Instrumentation and Tracing: Microsoft Developer Network]
* [
* [http://sourceware.org/systemtap/ SystemTap] provides free software (GPL) infrastructure to simplify the gathering of information about the running Linux system.
* [https://github.com/corelight/cwrap cwrap] Auto wrap C and C++ functions with instrumentation.
[[Category:Software optimization]]
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[[Category:Management systems]]
[[Category:Debugging]]
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