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Authors: Oleg Šelajev 1 and Allan Gregersen 2

Affiliations: 1 University of Tartu, Estonia ; 2 ZeroTurnaround, Estonia

Keyword(s): Dynamic Software Update, Runtime Phenomena, State Analysis, Reliability, Availability.

Related Ontology Subjects/Areas/Topics: Programming Languages ; Software Engineering

Abstract: Updating application code while it is running is a popular approach to the dynamic software update problem. But in many cases the behavior of the updated application bears side effects of the update in the form of a runtime phenomena that breaks application state assumptions leading to unwanted complications. We present a runtime state analysis system, Genrih, that enhances a dynamic system update solution and automatically decides if the state transformation functions of a DSU solution are sufficient for the given update. Genrih analyzes the atomic changes in the updated code compared to the already running version and based on these changes automatically determines whether updating the system’s runtime state will lead to the observable runtime phenomena. The designed system does not break the update procedure, but observes the state and produces notifications for enhanced analysis and crash management. The practical evaluation shows that the designed system imposes accepta ble overhead and can help the developer be aware of several kinds of runtime phenomena. (More)

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Paper citation in several formats:
Šelajev, O. and Gregersen, A. (2017). Using Runtime State Analysis to Decide Applicability of Dynamic Software Updates. In Proceedings of the 12th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-262-2; ISSN 2184-2833, SciTePress, pages 38-49. DOI: 10.5220/0006400900380049

@conference{icsoft17,
author={Oleg Šelajev. and Allan Gregersen.},
title={Using Runtime State Analysis to Decide Applicability of Dynamic Software Updates},
booktitle={Proceedings of the 12th International Conference on Software Technologies - ICSOFT},
year={2017},
pages={38-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006400900380049},
isbn={978-989-758-262-2},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Software Technologies - ICSOFT
TI - Using Runtime State Analysis to Decide Applicability of Dynamic Software Updates
SN - 978-989-758-262-2
IS - 2184-2833
AU - Šelajev, O.
AU - Gregersen, A.
PY - 2017
SP - 38
EP - 49
DO - 10.5220/0006400900380049
PB - SciTePress

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