University of Oulu

Akbar, M.A., Rafi, S., Khan, A.A. (2022). Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham.

Classical to quantum software migration journey begins : a conceptual readiness model

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Author: Akbar, Muhammad Azeem1; Rafi, Saima2; Khan, Arif Ali3
Organizations: 1Department of Software Engineering, LUT University, Lappeenranta, Finland
2Department of Informatics and Systems, University of Murcia, Murcia, Spain
3M3S Empirical Software Engineering Research Unit, University of Oulu, 90570, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Springer Nature, 2022
Publish Date: 2023-11-14


With recent advances in the development of more powerful quantum computers, the research area of quantum software engineering is emerging. Quantum software plays a critical role in exploiting the full potential of quantum computing systems. As a result, it has been drawing increasing attention recently to provide concepts, principles, and guidelines to address the ongoing challenges of quantum software development. The importance of the topic motivated us to voice out a call for action to develop a readiness model that will help an organization assess its capability of migration from classic software engineering to quantum software engineering. The proposed model will be based on the existing multivocal literature, industrial empirical study, understanding of the process areas, challenging factors and enablers that could impact the quantum software engineering process. We believe that the proposed model will provide a roadmap for software development organizations to measure their readiness concerning to transformation from classic to quantum software engineering by suggesting best practices and highlighting important process areas, challenges, and enablers.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-031-21388-5
ISBN Print: 978-3-031-21387-8
Pages: 563 - 573
Article number: 13709
DOI: 10.1007/978-3-031-21388-5_42
Host publication: PROFES 2022: Product-Focused Software Process Improvement
Conference: International Conference on Product-Focused Software Process Improvement
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This research is supported by the PHP Foundation with the grant 20220006.
Copyright information: © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG.