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Bibliographic Details
Main Authors: Jebbar, Oussama, Khendek, Ferhat, Toeroe, Maria
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.09038
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author Jebbar, Oussama
Khendek, Ferhat
Toeroe, Maria
author_facet Jebbar, Oussama
Khendek, Ferhat
Toeroe, Maria
contents Live testing is performed in the production environment ideally without causing unacceptable disturbance to the production traffic. Thus, test activities have to be orchestrated properly to avoid interferences with the production traffic. A test plan is the road map that specifies how the test activities need to be orchestrated. Developing a test plan includes tasks such as test configuration selection/generation, test configuration deployment planning, creating the test runs schedule, choosing strategies to mitigate the risk of interferences, etc. The manual design of a test plan is tedious and error prone. This task becomes harder especially when the systems are large and complex. In this paper we propose an approach for automating test plans generation. With this approach we aim at reducing service disruption that may be induced by the testing activities in production. We illustrate our approach with a case study and discuss its different aspects.
format Preprint
id arxiv_https___arxiv_org_abs_2511_09038
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Test Plan Generation for Live Testing of Cloud Services
Jebbar, Oussama
Khendek, Ferhat
Toeroe, Maria
Software Engineering
Live testing is performed in the production environment ideally without causing unacceptable disturbance to the production traffic. Thus, test activities have to be orchestrated properly to avoid interferences with the production traffic. A test plan is the road map that specifies how the test activities need to be orchestrated. Developing a test plan includes tasks such as test configuration selection/generation, test configuration deployment planning, creating the test runs schedule, choosing strategies to mitigate the risk of interferences, etc. The manual design of a test plan is tedious and error prone. This task becomes harder especially when the systems are large and complex. In this paper we propose an approach for automating test plans generation. With this approach we aim at reducing service disruption that may be induced by the testing activities in production. We illustrate our approach with a case study and discuss its different aspects.
title Test Plan Generation for Live Testing of Cloud Services
topic Software Engineering
url https://arxiv.org/abs/2511.09038