Activities per year
Abstract
Since Kotlin can be translated for different targets such as the JVM, WebAssembly, or Native, traditional load-time instrumentation would have to be re-implemented for each such compilation target. A target-agnostic solution is to instrument code at the compiler’s Intermediate Representation (IR) level. However, the official compiler API for this is low-level and verbose, posing a significant barrier. We present KIRHelperKit, a library that simplifies Kotlin compile-time code instrumentation. It drastically reduces the number of lines of code needed to develop custom multi-platform performance profilers that work seamlessly across all Kotlin targets, significantly reducing development effort.
| Original language | English |
|---|---|
| Number of pages | 3 |
| Journal | Softwaretechnik-Trends |
| Volume | 45 |
| Issue number | 4 |
| Publication status | Published - 2025 |
Fields of science
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102011 Formal languages
- 102022 Software development
- 102029 Practical computer science
- 102 Computer Sciences
- 102024 Usability research
JKU Focus areas
- Digital Transformation
Activities
- 1 Contributed talk
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Simplifying Kotlin Compile-Time Code Instrumentation
Weninger, M. (Speaker)
Nov 2025Activity: Talk or presentation › Contributed talk › science-to-science