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

Tahvili, Sahar (författare)
RISE,SICS,RISE SICS Västerås, S-72212 Västerås, Sweden.
Pimentel, Rita (författare)
RISE,SICS,RISE SICS Västerås, S-72212 Västerås, Sweden.
Afzal, Wasif (författare)
Mälardalen University, Sweden,Mälardalen Univ, Sch Innovat Design & Engn, S-72220 Västerås, Sweden.
visa fler...
Ahlberg, Marcus (författare)
KTH,.
Fornander, Eric (författare)
KTH
Bohlin, Markus (författare)
RISE,SICS,RISE SICS Västerås, Ind Efficiency, S-72212 Västerås, Sweden.
visa färre...
 (creator_code:org_t)
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
2019
Engelska.
Ingår i: IEEE Access. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2169-3536. ; 7, s. 12928-12946
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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%. 

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

decision support systems
dependency
integration testing
manual testing
scheduler algorithm
Software testing
stochastic test scheduling
test optimization
Artificial intelligence
Integration
Program debugging
Scheduling
Stochastic systems
Testing
Bombardier Transportation
Empirical evaluations
Natural language text
Stochastic scheduling
Test scheduling

Publikations- och innehållstyp

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