PerformanceHat - Augmenting Source Code with Runtime Performance Traces in the IDE
Paper i 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:

Computer programming

Software performance engineering

Program analysis

development workflow

Problem solving

Software design

Integrodifferential equations


Jürgen Cito

Universität Zürich

Philipp Leitner

Chalmers, Data- och informationsteknik, Software Engineering

Christian Bosshard

Universität Zürich

Markus Knecht

Universität Zürich

Genc Mazlami

Universität Zürich

Harald C. Gall

Universität Zürich

Proceedings - International Conference on Software Engineering

02705257 (ISSN)

978-145035663-3 (ISBN)

International Conference on Software Engineering (ICSE)
Gothenburg, Sweden,


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