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sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases
Publication Type:
Journal article
Venue:
Journal of IEEE Access
Abstract
The main goal of software testing is to detect as many hidden bugs as possible in the final
software product before release. Generally, a software product is tested through executing a set of test cases,
which can be performed manually or automatically. The number of test cases which are required to test a
software product depends on several parameters such as: the product type, size and complexity. Executing
all test cases with no particular order can lead to waste of time and resources. Test optimization can
provide a partial solution for saving time and resources which can lead to the final software product being
released earlier. In this regard, test case selection, prioritization and scheduling can be considered as possible
solutions for test optimization. Most of the companies do not provide direct support for ranking test cases
on theirs own servers. In this paper we introduce, apply and evaluate sOrTES as our decision support system
for manual integration of test scheduling. sOrTES is a Python based supportive tool which schedules manual
integration test cases which are written in a natural language text. The feasibility of sOrTES is studied by
an empirical evaluation which has been performed on a railway use-case at Bombardier Transportation in
Sweden. The empirical evaluation indicates that around 40% of testing failure can be avoided by using the
proposed execution schedules by sOrTES, which leads to an increase in the requirements coverage of up to
9.6%.
Bibtex
@article{Tahvili5418,
author = {Sahar Tahvili and Rita Pimentel and Wasif Afzal and Marcus Ahlberg and Eric Fornander and Markus Bohlin},
title = {sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases},
volume = {6},
pages = {1--19},
month = {January},
year = {2019},
journal = {Journal of IEEE Access},
url = {http://www.es.mdu.se/publications/5418-}
}