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International Journal of Software Engineering and Knowledge Engineering - World Scientific | 2025 Impact Factor:1.0 | Cite Score:2.0 | SCOPUS Q3

International Journal of Software Engineering and Knowledge Engineering

Impact Factor and Journal Rank of International Journal of Software Engineering and Knowledge Engineering

  • About: The International Journal of Software Engineering and Knowledge Engineering serves as a forum for researchers, academics, and practitioners to publish original research articles, reviews, and application papers in the fields of software engineering and knowledge engineering. By integrating theoretical insights and practical applications, the journal aims to advance the understanding and development of software systems and knowledge-based technologies, fostering innovation and promoting interdisciplinary collaborations.
  • Objective:
    The primary objective of the International Journal of Software Engineering and Knowledge Engineering is to provide a leading publication venue for research that focuses on the design, development, and maintenance of software systems and the integration of knowledge-based approaches in software engineering. The journal covers a wide range of topics including software development methodologies, software quality assurance, software architecture, requirements engineering, knowledge representation, knowledge management, intelligent systems, and applications of AI in software engineering. By addressing theoretical foundations, practical implementations, and emerging trends in these fields, the journal aims to facilitate the development of innovative solutions that enhance the efficiency, reliability, and intelligence of software systems.
  • Interdisciplinary Approach:
    The International Journal of Software Engineering and Knowledge Engineering adopts an interdisciplinary approach, encouraging contributions that integrate insights from computer science, engineering, artificial intelligence, information systems, and related disciplines. The journal covers diverse interdisciplinary topics such as the development of novel software engineering methodologies, techniques for knowledge-based system design, the use of AI and machine learning in software development, and the impact of knowledge management practices on software project success. By promoting collaboration across disciplines, the journal facilitates the dissemination of cutting-edge research that addresses practical challenges and enhances the development of advanced software engineering and knowledge engineering technologies.
  • Impact:
    The impact of the International Journal of Software Engineering and Knowledge Engineering is significant in advancing both theoretical foundations and practical applications in the fields of software engineering and knowledge engineering. By publishing rigorous research articles and application papers, the journal contributes to the development of new methodologies, algorithms, and technologies that enable more efficient and intelligent software systems. The journals publications inform the development of innovative solutions that address real-world challenges in areas such as software project management, intelligent systems design, software maintenance, and knowledge-based system implementation. The emphasis on high-quality research and practical relevance ensures that the journals contributions support the continuous evolution and adoption of advanced software engineering and knowledge engineering technologies worldwide.
  • Significance:
    The International Journal of Software Engineering and Knowledge Engineering holds significant importance for researchers, educators, practitioners, and decision-makers interested in advancing the fields of software engineering and knowledge engineering. The journals contributions include advancing theoretical frameworks, exploring new applications of AI and knowledge-based technologies in software development, and addressing practical challenges in software project management and system design. By providing insights into the latest developments, emerging trends, and best practices in software engineering and knowledge engineering, the journal serves as a valuable resource for fostering innovation and promoting interdisciplinary collaboration globally. It supports the continuous advancement of knowledge and technological innovation in the field of software engineering and knowledge engineering, facilitating the development of robust solutions that enhance the efficiency, reliability, and intelligence of software systems.

  • Editor-in-Chief:  S-K Chang

  • Scope: The International Journal of Software Engineering and Knowledge Engineering (IJSEKE) is a peer-reviewed journal that publishes high-quality research on all aspects of software engineering and knowledge engineering. Here is an overview:
  • Software Engineering:
    Research on methodologies, frameworks, and tools for software development, including software design, architecture, testing, maintenance, and project management. Topics include software quality assurance, software metrics, software process improvement, and agile methodologies.
  • Knowledge Engineering:
    Techniques and methods for the creation, representation, management, and application of knowledge in computer systems. This includes knowledge acquisition, knowledge representation languages, ontologies, expert systems, and knowledge-based systems.
  • Requirements Engineering:
    Studies on eliciting, analyzing, specifying, and validating software requirements. Topics cover requirement modeling, requirement management, traceability, and the impact of requirements on software quality.
  • Software Modeling and Simulation:
    Research on modeling and simulation methods for software systems, including UML, domain-specific languages, model-driven engineering, and simulation techniques for software performance and reliability assessment.
  • Software Testing and Verification:
    Advancements in software testing methodologies, automated testing tools, formal verification techniques, model checking, and ensuring software correctness and reliability.
  • Knowledge-Based Systems:
    Development and application of systems that use artificial intelligence techniques to represent and reason with knowledge. This includes expert systems, decision support systems, and intelligent agents.
  • Software Maintenance and Evolution:
    Techniques and tools for software maintenance, software refactoring, reverse engineering, software evolution analysis, and managing legacy systems.
  • Human-Computer Interaction (HCI):
    Studies on the design, evaluation, and implementation of user interfaces and user experiences in software systems. Topics include usability testing, user-centered design, and interaction design.
  • Artificial Intelligence in Software Engineering:
    Application of AI techniques to solve software engineering problems, such as machine learning for bug prediction, natural language processing for requirement analysis, and AI-driven software development tools.
  • Knowledge Management:
    Research on methods and tools for capturing, storing, sharing, and utilizing organizational knowledge. This includes knowledge management systems, collaborative environments, and knowledge discovery in databases.
  • Emerging Technologies in Software Engineering:
    Exploration of new and emerging technologies in software engineering, such as cloud computing, IoT, blockchain, and their impact on software development practices.
  • Case Studies and Industrial Applications:
    Practical applications of software engineering and knowledge engineering methods in real-world scenarios, including industry case studies, best practices, and lessons learned from software projects.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  0218-1940

    Electronic ISSN:  1793-6403

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2025:  1.0

  • Subject Area and Category:  Computer Sciences, Electronics and Telecommunications

  • Publication Frequency:  Bimonthly

  • H Index:  45

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Graphics and Computer-Aided Design

    Q4:  

  • Cite Score:  2.0

  • SNIP:  0.489

  • Journal Rank(SJR):  0.281