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Exploring the Application of Classical and Intelligent Software Testing in Medicine: A Literature Review

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 904))

Abstract

This literature review explores the vital role of both classic and intelligent software testing in ensuring the quality and safety of medical software. Classic approaches establish a solid foundation for testing and ensuring adherence to regulatory standards. On the other hand, intelligent testing methods, leveraging artificial intelligence, machine learning, and deep learning, offer valuable advantages such as automation, pattern recognition, and performance insights. However, these approaches also present challenges concerning data quality and potential bias. To optimize medical software testing, the review recommends a combined approach based on specific requirements and available resources. Ultimately, these testing approaches work towards improving the quality and safety of medical software, leading to enhanced patient outcomes and a more efficient healthcare system.

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Authors and Affiliations

  1. LTI Laboratory, National School of Applied Sciences, Chouaib Doukkali University, El Jadida, Morocco

    Mohamed Boukhlif & Mohamed Hanine

  2. National Center for Scientific and Technical Research (CNRST), Rabat, Morocco

    Nassim Kharmoum

  3. IPSS Team, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco

    Nassim Kharmoum & Chaimae Elasri

  4. E2SN Research Team, ENSAM Rabat, Mohammed V University in Rabat, Rabat, Morocco

    Wajih Rhalem

  5. Mathematics and Applications Laboratory, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tetouan, Morocco

    Mostafa Ezziyyani

  6. Moroccan Society of Digital Health, Rabat, Morocco

    Mohamed Boukhlif, Nassim Kharmoum & Wajih Rhalem

Authors
  1. Mohamed Boukhlif
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  2. Nassim Kharmoum
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  3. Mohamed Hanine
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  4. Chaimae Elasri
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  5. Wajih Rhalem
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  6. Mostafa Ezziyyani
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Corresponding author

Correspondence to Mohamed Boukhlif .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  2. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad and Romanian Academy of Scientists, Arad, Romania

    Valentina Emilia Balas

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Boukhlif, M., Kharmoum, N., Hanine, M., Elasri, C., Rhalem, W., Ezziyyani, M. (2024). Exploring the Application of Classical and Intelligent Software Testing in Medicine: A Literature Review. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 904. Springer, Cham. https://doi.org/10.1007/978-3-031-52388-5_4

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