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Kieker: a monitoring framework for software engineering research

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
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).

Record type: Article

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

Identifiers

Local EPrints ID: 488765
URI: http://eprints.soton.ac.uk/id/eprint/488765
PURE UUID: d3f01d01-c545-4f91-8d6d-5e940600cad6
ORCID for Wilhelm Hasselbring: ORCID iD orcid.org/0000-0001-6625-4335

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Date deposited: 05 Apr 2024 16:37
Last modified: 10 Apr 2024 02:15

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Contributors

Author: Wilhelm Hasselbring ORCID iD
Author: André van Hoorn

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