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

Ege Apak, Ayse Tosun

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020
YayınlayanAssociation for Computing Machinery, Inc
Sayfalar533-536
Sayfa sayısı4
ISBN (Elektronik)9781450379632
DOI'lar
Yayın durumuYayınlandı - 27 Haz 2020
Etkinlik42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020 - Seoul, Korea, Republic of
Süre: 27 Haz 202019 Tem 2020

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
Ülke/BölgeKorea, Republic of
ŞehirSeoul
Periyot27/06/2019/07/20

Bibliyografik not

Publisher Copyright:
© 2020 ACM.

Parmak izi

Finding Load Inducing Test Scenarios Using Genetic Algorithms and Tree Based Encoding' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap