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| Title | Tracking Performance Failures with Rizel |
| Authors | Juan Pablo Sandoval Alcocer, Alexandre Bergel |
| Publication date | 2013 |
| Abstract | Understanding and minimizing the impact of software changes on performance are both challenging and essential when developing a software. Unfortunately, current code execution profilers do not offer efficient abstractions and adequate rep- resentations to keep track of performance across multiple versions. Consequently, understanding the cause of a slow execution stemming from a software evolution is often realized in an ad-hoc fashion. We have designed Rizel, a code profiler that identifies the root of performance variations thanks to an expressive and intuitive visual representation. Rizel highlights variation of executions and time distribution between multiple software versions. Rizel is available for the Pharo programming language under the MIT License. |
| Downloaded | 6 times |
| Pages | 38-42 |
| Conference name | International Workshop on Principles of Software Evolution |
| Publisher | ACM Press (New York, NY, USA) |
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