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Recent Advances of Software Engineering

This special issue belongs to the section “Computer Science & Engineering“.

Special Issue Information

Dear Colleagues,

This Special Issue on "Recent Advances in Software Engineering" aims to showcase the latest developments, methodologies, and trends in the field of software engineering. As software systems become increasingly complex and integral to the functioning of global industries, the need for innovative solutions to design, develop, manage, and maintain these systems has never been more critical. This issue brings together pioneering research and cutting-edge studies that push the boundaries of what is possible in software engineering, highlighting new tools, techniques, and best practices.

In particular, this Special Issue focuses on the adaptation of software engineering practices to accommodate the rapid pace of technological advancements. Contributions explore the evolution of software development methodologies, the integration of artificial intelligence and machine learning in automated software development, and the increasing importance of cybersecurity measures in the software development lifecycle. Additionally, it explores the challenges and opportunities presented by the rise in quantum computing and how it is set to revolutionize software engineering paradigms.

Topics of interest for this Special Issue include, but are not limited to, the following:

  1. Agile and DevOps methodologies: Enhancements and innovative practices.
  2. Application of AI and machine learning in software development and maintenance.
  3. Cybersecurity practices in software engineering: Emerging threats and defense mechanisms.
  4. Quantum software engineering: Challenges and opportunities.
  5. Software engineering for cloud computing: Design, development, and deployment strategies.
  6. Human–computer interaction (HCI) in software development: Improving user experience through engineering.
  7. Sustainable software engineering: Practices for reducing environmental impact.
  8. Software testing and quality assurance: New tools and techniques for ensuring reliability and performance.

Through these topics, this Special Issue seeks to provide valuable insights and foster discussion among researchers, practitioners, and educators at the forefront of software engineering innovation.

Dr. Arif Ali Khan
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • software engineering
  • DevOps methodologies
  • AI and machine learning in software development

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Electronics - ISSN 2079-9292