Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding

Ege Apak; Ayse Tosun

doi:10.1145/3387940.3392216

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding

Ege Apak, Ayse Tosun

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Load test is conducted in order to gain an insight to the characteristics of a system under various amount of load. Since the combination of possible actions a user can follow from start to finish is possibly endless, the possibility of missing a load inducing scenario by using a traditional load testing software is highly probable. In this work, we implement a rule-aided scenario generation algorithm and find the possible scenarios that a high amount of load is generated by using genetic algorithms to drive the search forward.

Original language	English
Title of host publication	Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020
Publisher	Association for Computing Machinery, Inc
Pages	533-536
Number of pages	4
ISBN (Electronic)	9781450379632
DOIs	https://doi.org/10.1145/3387940.3392216
Publication status	Published - 27 Jun 2020
Event	42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020 - Seoul, Korea, Republic of Duration: 27 Jun 2020 → 19 Jul 2020

Publication series

Name	Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020

Conference

Conference	42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
Country/Territory	Korea, Republic of
City	Seoul
Period	27/06/20 → 19/07/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

genetic algorithms
load testing
tree-based encoding

Access to Document

10.1145/3387940.3392216

Cite this

Apak, E., & Tosun, A. (2020). Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. In Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020 (pp. 533-536). (Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3387940.3392216

Apak, Ege ; Tosun, Ayse. / Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020. Association for Computing Machinery, Inc, 2020. pp. 533-536 (Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020).

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abstract = "Load test is conducted in order to gain an insight to the characteristics of a system under various amount of load. Since the combination of possible actions a user can follow from start to finish is possibly endless, the possibility of missing a load inducing scenario by using a traditional load testing software is highly probable. In this work, we implement a rule-aided scenario generation algorithm and find the possible scenarios that a high amount of load is generated by using genetic algorithms to drive the search forward.",

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Apak, E & Tosun, A 2020, Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. in Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020. Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020, Association for Computing Machinery, Inc, pp. 533-536, 42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020, Seoul, Korea, Republic of, 27/06/20. https://doi.org/10.1145/3387940.3392216

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. / Apak, Ege; Tosun, Ayse.
Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020. Association for Computing Machinery, Inc, 2020. p. 533-536 (Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Apak E, Tosun A. Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding. In Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020. Association for Computing Machinery, Inc. 2020. p. 533-536. (Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020). doi: 10.1145/3387940.3392216

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding

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Keywords

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