Identifying worst-case user scenarios for performance testing of web applications using Markov-chain workload models-Reference-Cited by-同舟云学术

Identifying worst-case user scenarios for performance testing of web applications using Markov-chain workload models

Published:2018-10 Issue: Volume:87 Page:910-920
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Ahmad Tanwir,Truscan Dragos,Porres Ivan

Funder

Electronic Component Systems for European Leadership Joint Undertaking

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference32 articles.

1. Gomez, Why web performance matters: Is your site driving customers away? Retrieved: Decemeber 2017, 2010. http://www.mcrinc.com/Documents/Newsletters/201110_why_web_performance_matters.pdf .

2. Object driven performance testing of web applications;Subraya,2000

3. MBPeT - A model-based performance testing tool;Abbors,2012

4. F. Abbors, T. Ahmad, D. Truscan, I. Porres, Model-based performance testing of web services using probabilistic timed automata, in: Proceedings of the 2013 10th International Conference on Web Information Systems and Technologies, 2013.

5. Introduction to Probability;Grinstead,2012

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Search-Based Performance Testing and Analysis for Microservice-Based Digital Power Applications;2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE);2023-05-12

2. Investigation of university websites from technology acceptance model and information architecture perspective: A case study;Journal of Information Science;2022-05-06

3. Automated Performance Testing Based on Active Deep Learning;2021 IEEE/ACM International Conference on Automation of Software Test (AST);2021-05

4. Simulating FogDirector Application Management;Simulation Modelling Practice and Theory;2020-05

5. Using Deep Reinforcement Learning for Exploratory Performance Testing of Software Systems With Multi-Dimensional Input Spaces;IEEE Access;2020