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sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases
RISE SICS Vasteras, Sweden..
RISE SICS Vasteras, Sweden..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0611-2655
KTH Royal Inst Technol, Sweden..
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 12928-12946Article in journal (Refereed) Published
Abstract [en]

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 by 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 their 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, 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%.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 7, p. 12928-12946
Keywords [en]
Software testing, integration testing, test optimization, decision support systems, stochastic test scheduling, manual testing, scheduler algorithm, dependency
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-42989DOI: 10.1109/ACCESS.2019.2893209ISI: 000458177800064Scopus ID: 2-s2.0-85061302207OAI: oai:DiVA.org:mdh-42989DiVA, id: diva2:1300650
Available from: 2019-03-29 Created: 2019-03-29 Last updated: 2019-04-10Bibliographically approved

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Afzal, Wasif

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