Kieker: a monitoring framework for software engineering research
Kieker: a monitoring framework for software engineering research
Application-level monitoring and dynamic analysis of software systems are a basis for various tasks in software engineering research, such as performance evaluation and reverse engineering. The Kieker framework provides monitoring, analysis, and visualization support for these purposes. It commenced in 2006, and grew toward a high-quality open-source software that has been employed in a variety of software engineering research projects over the last decade. Several research groups constitute the open-source community to advance the Kieker framework. In this paper, we review Kieker's history, development, and impact both in research and technology transfer with industry.
Dynamic analysis, Monitoring, Reverse engineering, Software engineering research, Software performance
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
van Hoorn, André
eb23729b-7858-44ae-8c0a-d9e940de7b99
17 June 2020
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
van Hoorn, André
eb23729b-7858-44ae-8c0a-d9e940de7b99
Hasselbring, Wilhelm and van Hoorn, André
(2020)
Kieker: a monitoring framework for software engineering research.
Software Impacts, 5, [100019].
(doi:10.1016/j.simpa.2020.100019).
Abstract
Application-level monitoring and dynamic analysis of software systems are a basis for various tasks in software engineering research, such as performance evaluation and reverse engineering. The Kieker framework provides monitoring, analysis, and visualization support for these purposes. It commenced in 2006, and grew toward a high-quality open-source software that has been employed in a variety of software engineering research projects over the last decade. Several research groups constitute the open-source community to advance the Kieker framework. In this paper, we review Kieker's history, development, and impact both in research and technology transfer with industry.
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Accepted/In Press date: 4 June 2020
e-pub ahead of print date: 10 June 2020
Published date: 17 June 2020
Keywords:
Dynamic analysis, Monitoring, Reverse engineering, Software engineering research, Software performance
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Local EPrints ID: 488765
URI: http://eprints.soton.ac.uk/id/eprint/488765
PURE UUID: d3f01d01-c545-4f91-8d6d-5e940600cad6
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Date deposited: 05 Apr 2024 16:37
Last modified: 10 Apr 2024 02:15
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Author:
Wilhelm Hasselbring
Author:
André van Hoorn
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