Abstract
Robots are very complex systems requiring intensive testing before being released as final products on the market. Moreover, due to the fast pace of robotics technological advancements, it would be difficult to keep track of all the knowledge behind without the implementation of a proper knowledge management system. This paper presents a methodology for the usability of knowledge models in robot’s software testing. A knowledge model was implemented and utilized using Celonis tool, and some conclusions were drawn from the experimentation based on a robot’s simulation within Webots.
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References
Drucker P (1985) Innovation and entrepreneurship: practice and principles. Harper & Row, New York
Cuena J, Molina M (2000) The role of knowledge modelling techniques in software development: a general approach based on a knowledge management tool. Int J Hum Comput Stud 52:385–421
Wnuk K, Garrepalli T (2018) Knowledge management in software testing: a systematic snowball literature review. e-Informatica Softw Eng J 12(1):51–78. Politechnika Wroclawska
Falah B, Bouriat S, Achahbar O (2015) Reducing mutation testing cost using random selective mutation technique. Malaysian J CS 28(4)
Hamimoune S, Falah B (2016) Mutation testing techniques: a comparative study. In: 2016 international conference on engineering & MIS (ICEMIS)
Michel O (2004) Cyberbotics Ltd. WebotsTM: professional mobile robot simulation. Int J Adv Robot Syst
Webots (2021) http://www.cyberbotics.com. Accessed 30 May 2021
Celonis (2021) https://www.celonis.com/. Accessed 31 May 2021
YAML (2021) https://yaml.org/. Accessed 31 May 2021
Kumar K, Reel PS (2011) Analysis of contemporary robotics simulators. In: 2011 international conference on emerging trends in electrical and computer technology, pp 661–665
de Souza ÉF, de Almeida Falbo R, Vijaykumar NL (2015) Knowledge management initiatives in software testing: a mapping study. Inform Softw Technol 57:378–339
Roman A, Mnich M (2021) Test-driven development with mutation testing—an experimental study. Softw Qual J 29:1–38
Tammet T, Reilent E, Puju M, Puusepp A, Kuusik A (2010) Knowledge centric architecture for a robot swarm. In: IFAC proceedings volumes
Mușat F, Mihu F (2018) Collaborative robots and knowledge management—a short review. Acta Universitatis Cibiniensis, Technical Series
Gómez LV, Miura J (2021) Ontology-based knowledge management with verbal interaction for command interpretation and execution by home service robots. Robot Auton Syst 140. ISSN 0921-8890
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The author would like to thank Celonis Academic Alliance and Cyberbotics Ltd.
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Turcanu, C.N. (2022). Knowledge Models for Software Testing in Robotics. In: Ullah, A., Anwar, S., Rocha, Á., Gill, S. (eds) Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems, vol 350. Springer, Singapore. https://doi.org/10.1007/978-981-16-7618-5_42
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DOI: https://doi.org/10.1007/978-981-16-7618-5_42
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