Automated Selection of Software Refactorings that Improve Performance

Moesus, Nikolai; Scholze, Matthias; Schlesinger, Sebastian; Herber, Paula

doi:10.5220/0006837900670078

Search citation statements

Order By: Relevance

Paper Sections

Select...

Concurrency Analysis1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, Moesus et al [8] present a technique for ranking potential refactorings (such as using Java's StringBuilder to concatenate strings instead of the plus operator) based on estimating performance improvements. Their approach estimates the benefit of a given refactoring by combining the estimate execution frequency of a piece of code and the approximate performance improvement achievable by implementing the refactoring.…”

Section: Concurrency Analysismentioning

confidence: 99%

Refactoring traces to identify concurrency improvements

Orton

Mycroft

2021

Proceedings of the 23rd ACM International Workshop on Formal Techniques for Java-Like Programs

View full text Add to dashboard Cite

It is often difficult to analyse why a program executes more slowly than intended. This is particularly true for concurrent programs. We describe and evaluate a system, Rehype, which takes Java programs, performs low-overhead tracing of method calls, analyses the resulting trace-logs to detect inefficient uses of concurrency constructs, and suggests source-code-oriented improvements. Rehype deals with task-based concurrency, specifically a future-based model of tasks. Implementing the suggested improvements on an industrial API server more than doubled request-processing throughput.

show abstract

Section: Concurrency Analysismentioning

confidence: 99%