Abstract | ||
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Performance problems observed in production environments that have their origin in program code are immensely hard to localize and prevent. Data that can help solve such problems is usually found in external dashboards and is thus not integrated into the software development process. We propose an approach that augments source code with runtime traces to tightly integrate runtime performance traces into developer workflows. Our goal is to create operational awareness of performance problems in developers' code and contextualize this information to tasks they are currently working on. We implemented this approach as an Eclipse IDE plugin for Java applications that is available as an open source project on GitHub. A video of PerformanceHat in action is online: https://youtu.be/fTBBiylRhag
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Year | DOI | Venue |
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2018 | 10.1145/3183440.3183481 | ICSE (Companion Volume) |
Keywords | Field | DocType |
software performance engineering, program analysis, development workflow | Software design,Software engineering,Computer science,Source code,Real-time computing,Software,Software development process,Plug-in,Program analysis,Java,Computer programming | Conference |
ISSN | ISBN | Citations |
2574-1926 | 978-1-4503-5663-3 | 3 |
PageRank | References | Authors |
0.50 | 5 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jürgen Cito | 1 | 156 | 12.90 |
Philipp Leitner | 2 | 87 | 7.42 |
Christian Bosshard | 3 | 3 | 0.50 |
Markus Knecht | 4 | 6 | 2.50 |
Genc Mazlami | 5 | 3 | 0.50 |
Harald C. Gall | 6 | 145 | 9.59 |