Model-based Automation of Test Scripts Generation Across Product Variants: a Railway Perspective
In this work, we report on our experience in defining and applying a model-based approach for the automatic generation of test scripts for product variants in software product lines. The proposed approach is the result of an effort leveraging the experiences and results from the technology transfer activities with our industrial partner, Bombardier Transportation in Sweden. The proposed approach employs metamodelling and model transformations for representing different testing artefacts and making their generation automatic. We demonstrate the industrial applicability and efficiency of the proposed approach using the Bombardier Transportation Aventra software product line. We observe that the proposed approach mitigates the development effort, time consumption and consistency drawbacks typical of traditional strategies
Fri 21 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:30 - 18:15 | Industrial case studies & Doctoral StudentsAST 2021 at AST Room Chair(s): Breno Miranda Federal University of Pernambuco | ||
16:30 15mShort-paper | Continuous Testing Improvement Model AST 2021 Maximiliano Agustin Mascheroni Universidad Nacional de La Plata, Emanuel Agustin Irrazábal Universidad Nacional del Nordeste, Gustavo Rossi Universidad Nacional de La Plata, LIFIA-Fac. Informatica, La Plata, Argentina Pre-print Media Attached | ||
16:45 30mLong-paper | Model-based Automation of Test Scripts Generation Across Product Variants: a Railway Perspective AST 2021 Alessio Bucaioni Mälardalen University, Fabio Di Silvestro Bombardier Railway Transportation, Inderjeet Singh Bombardier Railway Transportation, Mehrdad Saadatmand RISE Research Institutes of Sweden, Henry Muccini University of L'Aquila, Italy, Thorvaldur Jochumsson Bombardier Railway Transportation Pre-print Media Attached | ||
17:15 30mLong-paper | Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms AST 2021 Aitor Arrieta University of Mondragon, Jon Ayerdi Mondragon Unibertsitatea, Miren Illarramendi Mondragon University, Aitor Agirre IKERLAN-IK4, Goiuria Sagardui University of Mondragon
, Maite Arratibel Orona Pre-print Media Attached | ||
17:45 30mLong-paper | Automatically Assessing and Extending Code Coverage for NPM Packages AST 2021 Haiyang Sun Università della Svizzera italiana, Andrea Rosà University of Lugano, Switzerland, Daniele Bonetta Oracle Labs, Walter Binder University of Lugano, Switzerland Media Attached |
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