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Abstract
During the execution of software, execution data can be recorded. With the development of process mining techniques on the one hand, and the
growing availability of software execution data on the other hand, a new form of software analytics comes into reach. That is, applying process mining techniques to analyze software execution data. To enable process mining for software, event logs should be capable of capturing software-specific data.
In the context of multi-process and distributed software, there are multiple
software applications interacting and communicating with each other. The
Soft-ware Communication extension supports recording IP-based communication for relating events across software applications.
growing availability of software execution data on the other hand, a new form of software analytics comes into reach. That is, applying process mining techniques to analyze software execution data. To enable process mining for software, event logs should be capable of capturing software-specific data.
In the context of multi-process and distributed software, there are multiple
software applications interacting and communicating with each other. The
Soft-ware Communication extension supports recording IP-based communication for relating events across software applications.
| Original language | English |
|---|---|
| Place of Publication | s.l. |
| Publisher | XES Working Group |
| Number of pages | 4 |
| Publication status | Published - 20 Nov 2017 |
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Dive into the research topics of 'XES Software Communication Extension'. Together they form a unique fingerprint.Research output
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Instrumentation agent and log server for software monitoring: process mining in software systems
Leemans, M., 2016Research output: Non-textual form › Software › Academic