INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Scope & Guideline

Navigating the Evolving Landscape of Software Engineering

Introduction

Immerse yourself in the scholarly insights of INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0218-1940
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 1996 to 2024
AbbreviationINT J SOFTW ENG KNOW / Int. J. Softw. Eng. Knowl. Eng.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING focuses on the intersection of software engineering and knowledge engineering, fostering research that enhances the methodologies, tools, and practices used in these fields. The journal aims to provide a platform for innovative research that addresses contemporary challenges in software development and knowledge management.
  1. Software Defect Prediction and Quality Assurance:
    The journal publishes research on methodologies and models for predicting software defects, enhancing software quality through various testing and verification techniques.
  2. Machine Learning Applications in Software Engineering:
    There is a strong emphasis on the application of machine learning techniques for various software engineering tasks, including code analysis, defect prediction, and automated testing.
  3. Agile Development Practices and Methodologies:
    The journal covers studies related to agile methodologies, their implementation in software projects, and their impact on software quality and team dynamics.
  4. Knowledge Representation and Management:
    Research on knowledge engineering, including knowledge representation techniques, knowledge graphs, and their applications in software engineering, is a core focus.
  5. Cybersecurity and Software Vulnerabilities:
    The journal addresses issues related to software security, including vulnerability detection, secure coding practices, and the impact of security measures on software development.
  6. Human-Computer Interaction and Usability:
    The journal explores the interaction between users and software systems, including studies on usability, user experience, and the development of user-centered design methodologies.
  7. Emerging Technologies in Software Development:
    Research on the impact of emerging technologies such as quantum computing, cloud computing, and artificial intelligence on software engineering practices is increasingly prominent.
The journal has increasingly focused on several trending and emerging themes that reflect the evolving landscape of software engineering and knowledge engineering. These themes highlight the integration of new technologies and methodologies that address current challenges faced by the industry.
  1. Artificial Intelligence and Machine Learning Integration:
    There is a significant rise in research that integrates AI and machine learning into software engineering processes, including automated testing, code generation, and defect prediction.
  2. DevOps and Continuous Integration/Continuous Deployment (CI/CD):
    Research on DevOps practices, CI/CD pipelines, and their impact on software delivery speed and quality has gained momentum, reflecting the industry's shift towards agile and collaborative development practices.
  3. Quantum Software Engineering:
    Emerging interest in quantum software engineering showcases the journal's commitment to exploring cutting-edge technologies and their implications for software development.
  4. Software Engineering for IoT and Edge Computing:
    The increasing prevalence of IoT devices and edge computing has led to a surge in research focused on software engineering challenges specific to these domains, including security, scalability, and interoperability.
  5. User-Centered Design and Experience Engineering:
    There is a growing trend towards research that emphasizes user-centered design principles and methodologies to enhance user experience in software applications.
  6. Cross-Disciplinary Approaches in Software Engineering:
    The journal is seeing a rise in interdisciplinary research that combines insights from fields such as data science, social computing, and cognitive science with software engineering practices.

Declining or Waning

Over time, certain themes within the INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING have seen a decline in focus. This shift may reflect changes in industry priorities or advancements in technology that render previous themes less relevant.
  1. Traditional Software Development Methodologies:
    There has been a noticeable decline in publications focused on traditional software development methodologies, such as waterfall and V-model approaches, as agile and iterative methodologies gain more traction.
  2. Basic Software Testing Techniques:
    Research centered on basic or manual software testing techniques appears to be waning, with a shift towards more advanced automated testing and machine learning-based approaches.
  3. Static Code Analysis:
    While still important, the volume of research on static code analysis has decreased as more researchers focus on dynamic analysis and runtime verification techniques.
  4. Legacy Systems Maintenance:
    Studies specifically addressing the maintenance of legacy systems have decreased, likely due to a growing emphasis on modern software architectures and cloud-based solutions.
  5. Single-Platform Development:
    The focus on single-platform development practices is declining as research increasingly emphasizes cross-platform and multi-device solutions, reflecting the industry's shift towards a more interconnected software ecosystem.

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