Abstract
Performance is a general quality attribute of every software system that developers always want to improve. A performance fuzzer helps developers in this task by automatically generating inputs hitting performance bottlenecks. However, a developer must still manually localize the root causes of these bottlenecks. In this study, we perform grammar-based performance fuzzing on an example System Under Test (SUT), focusing on response time for determining problematic grammar constructs with the highest likelihood of causing bottlenecks. We show that replacing these constructs creates an average of 40.53x speedup on 24 bottleneck cases out of 50. Furthermore, avoiding the problematic constructs in the input generation provides an average of 1.46x speedup. These preliminary results suggest a measurable link between grammar constructs and performance bottlenecks, opening up the possibility of high-level categorization and analysis.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE 16th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2023 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 180-185 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350333350 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 16th IEEE International Conference on Software Testing, Verification and Validation Workshops: ICSTW 2023 - Dublin, Ireland Duration: 16 Apr 2023 → 20 Apr 2023 |
Conference
| Conference | 16th IEEE International Conference on Software Testing, Verification and Validation Workshops |
|---|---|
| Abbreviated title | ICSTW 2023 |
| Country/Territory | Ireland |
| City | Dublin |
| Period | 16/04/23 → 20/04/23 |
Keywords
- bottleneck analysis
- grammar-based fuzzing
- performance testing
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality
- Modelling and Simulation