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sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases


Sahar Tahvili, RITA PIMENTEL , Wasif Afzal, Marcus Ahlberg , Eric Fornander , Markus Bohlin

Publication Type:

Journal article


Journal of IEEE Access


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%.


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},
pages = {1--19},
month = {January},
year = {2019},
journal = {Journal of IEEE Access},
url = {}