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Soft Computing

A Fusion of Foundations, Methodologies and Applications

Publishing model:
Hybrid

Soft Computing - Call for Papers: Applying conventional soft computing techniques for developing quantum software systems

CLOSED FOR SUBMISSIONS


Quantum computing systems have emerged as a technology to address computation-specific challenges. Several technology companies like IBM, Google, and Microsoft have invested in the research and development of quantum systems. Lately, the software engineering community has started focusing on developing techniques and tools for quantum software models, algorithmic specifications, and simulation evaluations to benefit from quantum hardware.

Soft computing is playing a significant role in studying science and engineering complex systems. Soft computing has broad application spectrum in different areas including wireless communication, consumer appliances, transportation, healthcare, aerospace, automobile, power engineering etc. However, the applications of soft computing techniques in quantum software are far from being mature, which appears to be more suitable field for its application. Different intelligent techniques and approaches are required to tackle challenges related to the quantum software development practices. Quantum software systems are complex and challenging due to lack of mature quantum computing infrastructure.  

There are multiple applications of soft computing methods and concepts which can be used in software engineering projects in industry and research. Soft computing intelligence techniques are used for many conventional applied software engineering challenges including defect prediction, estimation and reusable software engineering and classification. However, the applications of soft computing techniques in developing quantum software system are not yet considered and further investigation is required in their suitability in the domain of quantum software practices. The modern-day conventional soft computing techniques can be used to engineer a quantum software system.  

The applied soft computing techniques like fuzzy logic, neural networks (NNs), case base reasoning and evolutionary computation could provide a novel roadmap to manage and develop quantum software systems. The mature quantum software processes and capabilities could assist in achieving the promising benefits of quantum computing ¬- efficient artificial intelligence, better batteries, cleaner fertilization, cybersecurity, drug development, electronic materials discovery, financial modeling, solar capture, traffic optimization, weather forecasting and climate change.

The aim of this special issue is to provide a platform for both practitioners and researchers to discuss the suitability of soft computing techniques for managing the technical, managerial organizational and economical aspects of quantum software. This issue will provide an opportunity to present the empirical evidence and technical strategies for developing the quantum software, as well propose new techniques, tools, frameworks, and approaches to maximize the significance of quantum software with the application of conventual soft computing techniques. We welcome the articles where the authors report research studies for the applications of soft computing methods in the domain of software processes.

Topics of Interest
The topics of interest for this SI include, but are not limited to:

  • State-of-the-art and state-of-the-practice of soft competing for quantum software engineering.
  • Systematic literature reviews and mapping studies on quantum software engineering and soft computing.
  • Case studies, surveys, observational studies, delphi studies, and field studies on soft computing for quantum applications.
  • Soft computing for decision support system. Validation and simulation.
  • Industrial findings and experience reports of developing quantum software.
  • Soft computing for development environments, frameworks, and tools.
  • Soft computing techniques for quantum process improvement.
  • AI for quantum software process management.
  • Managing agile based quantum software process using soft computing concepts.
  • Process risks management using soft computing techniques.
  • Quantum software process simulation modelling.
  • Data science for quantum process management.

The format for the full article submission is available at: https://www.springer.com/journal/500/submission-guidelines (this opens in a new tab)


SUBMISSION - IMPORTANT INFORMATION


  • All papers will be peer-reviewed. Before any special issue is given final approval to be put into production, additional rigorous integrity checks are carried out by the Editor-in-Chief, Special Issues Assistant Editor, Editorial Team, Production Office and by Springer Nature.
  •  Authors should follow the formatting and submission instructions for Soft Computing: https://www.springer.com/journal/500/submission-guidelines (this opens in a new tab)
  • During the first submission step in Editorial Manager select 'Original article' as the article type. In further steps you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.
  • Submissions should be original papers and should not be under consideration for publication elsewhere.


GUEST EDITORS


Dr. Muhammad Azeem AKBAR (Lead Guest Editor)

Lappeenranta University of Technology, Lappeenranta, Finland

Email: azeem.akbar@ymail.com & azeem.akbar@lut.fi


Dr. Arif Ali KHAN

M3S Empirical Software Engineering Research Unit, University of Oulu, 90570 Oulu, Finland

Email: arif.khan@oulu.fi


  



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