PerformanceHat - Augmenting Source Code with Runtime Performance Traces in the IDE
Paper in proceeding, 2018
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.
Computer programming
Software performance engineering
Program analysis
development workflow
Problem solving
Software design
Integrodifferential equations
Author
Jürgen Cito
University of Zürich
Philipp Leitner
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
Christian Bosshard
University of Zürich
Markus Knecht
University of Zürich
Genc Mazlami
University of Zürich
Harald C. Gall
University of Zürich
Proceedings - International Conference on Software Engineering
02705257 (ISSN)
978-145035663-3 (ISBN)
International Conference on Software Engineering (ICSE)
Gothenburg, Sweden,
Gothenburg, Sweden,
Areas of Advance
Information and Communication Technology
Subject Categories
Software Engineering
DOI
10.1145/3183440.3183481