Code generation for classical-quantum software systems modeled in UML.
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| Title: | Code generation for classical-quantum software systems modeled in UML. |
|---|---|
| Authors: | Jiménez-Navajas, Luis1 (AUTHOR) luis.jimeneznavajas@uclm.es, Pérez-Castillo, Ricardo1 (AUTHOR) ricardo.pdelcastillo@uclm.es, Piattini, Mario2 (AUTHOR) mario.piattini@uclm.es |
| Source: | Software & Systems Modeling. Jun2025, Vol. 24 Issue 3, p795-821. 27p. |
| Subjects: | Computer software, Systems software, Source code, Reverse engineering, Integrated software, Unified modeling language |
| Abstract: | Quantum computing is gaining an increasing interest since it can solve certain problems exponentially faster than classical computing. Thus, many organizations are researching and launching investments for integrating quantum software into their existing systems. Software modernization (as based on Model-Driven Engineering) has been proposed to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, both, reverse engineering and restructuring phases, have already been investigated. However, forward engineering phase for generating hybrid source code from high-level design models has not yet been addressed. Thus, this research proposes a quantum code generation technique from extended UML design models. It consists of a set of Model-to-Text transformations (defined through Epsilon Generation Language) to generate both Python and Qiskit code, which, respectively, integrate classical and quantum code. The transformation has been validated through a multi-case study with 7 hybrid software systems modeled in UML, which demonstrated that the transformation is effective and efficient. The implication of this work is that the software modernization process for hybrid software systems can be completed by tackling forward engineering phase, and that Model-Driven Engineering can therefore globally facilitate industry adoption of quantum software. [ABSTRACT FROM AUTHOR] |
| Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185686970 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Code generation for classical-quantum software systems modeled in UML. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jiménez-Navajas%2C+Luis%22">Jiménez-Navajas, Luis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> luis.jimeneznavajas@uclm.es</i><br /><searchLink fieldCode="AR" term="%22Pérez-Castillo%2C+Ricardo%22">Pérez-Castillo, Ricardo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ricardo.pdelcastillo@uclm.es</i><br /><searchLink fieldCode="AR" term="%22Piattini%2C+Mario%22">Piattini, Mario</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> mario.piattini@uclm.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Software+%26+Systems+Modeling%22">Software & Systems Modeling</searchLink>. Jun2025, Vol. 24 Issue 3, p795-821. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+software%22">Systems software</searchLink><br /><searchLink fieldCode="DE" term="%22Source+code%22">Source code</searchLink><br /><searchLink fieldCode="DE" term="%22Reverse+engineering%22">Reverse engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+software%22">Integrated software</searchLink><br /><searchLink fieldCode="DE" term="%22Unified+modeling+language%22">Unified modeling language</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Quantum computing is gaining an increasing interest since it can solve certain problems exponentially faster than classical computing. Thus, many organizations are researching and launching investments for integrating quantum software into their existing systems. Software modernization (as based on Model-Driven Engineering) has been proposed to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, both, reverse engineering and restructuring phases, have already been investigated. However, forward engineering phase for generating hybrid source code from high-level design models has not yet been addressed. Thus, this research proposes a quantum code generation technique from extended UML design models. It consists of a set of Model-to-Text transformations (defined through Epsilon Generation Language) to generate both Python and Qiskit code, which, respectively, integrate classical and quantum code. The transformation has been validated through a multi-case study with 7 hybrid software systems modeled in UML, which demonstrated that the transformation is effective and efficient. The implication of this work is that the software modernization process for hybrid software systems can be completed by tackling forward engineering phase, and that Model-Driven Engineering can therefore globally facilitate industry adoption of quantum software. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10270-024-01259-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 795 Subjects: – SubjectFull: Computer software Type: general – SubjectFull: Systems software Type: general – SubjectFull: Source code Type: general – SubjectFull: Reverse engineering Type: general – SubjectFull: Integrated software Type: general – SubjectFull: Unified modeling language Type: general Titles: – TitleFull: Code generation for classical-quantum software systems modeled in UML. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiménez-Navajas, Luis – PersonEntity: Name: NameFull: Pérez-Castillo, Ricardo – PersonEntity: Name: NameFull: Piattini, Mario IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16191366 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: Software & Systems Modeling Type: main |
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