Journal of Software-Evolution and Process

Scope & Guideline

Elevating Software Engineering through Research

Introduction

Delve into the academic richness of Journal of Software-Evolution and Process with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2047-7473
PublisherWILEY
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJ SOFTW-EVOL PROC / J. Softw.-Evol. Proc.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The Journal of Software Evolution and Process aims to address the dynamic and evolving nature of software systems and processes. It focuses on methodologies, techniques, and practices that enhance software quality, maintainability, and adaptability throughout the software development lifecycle.
  1. Software Evolution and Maintenance:
    Research on the processes and techniques that facilitate the evolution and maintenance of software systems, including refactoring, technical debt management, and change impact analysis.
  2. Software Process Improvement:
    Studies aimed at enhancing software development processes through various methodologies such as Agile, DevOps, and empirical assessments of best practices.
  3. Software Quality Assurance:
    Investigations into quality assurance methods and metrics, including defect prediction, testing strategies, and automated testing frameworks.
  4. Emerging Technologies in Software Engineering:
    Exploration of the implications of new technologies like AI, blockchain, and cloud computing on software development practices and methodologies.
  5. Human Factors in Software Development:
    Research that examines the impact of human behavior, team dynamics, and organizational culture on software development effectiveness.
  6. Security and Compliance in Software Development:
    Focus on security challenges in software engineering, including vulnerability assessments, secure coding practices, and compliance with industry regulations.
The Journal of Software Evolution and Process has recently witnessed the emergence of several trending themes in software engineering research. These areas reflect current challenges and advancements in the field, highlighting the journal's responsiveness to evolving industry needs.
  1. Artificial Intelligence in Software Development:
    A significant increase in research exploring the use of AI techniques for code generation, defect prediction, and automated testing, indicating a trend towards integrating intelligent systems in software engineering.
  2. DevOps and Continuous Integration/Continuous Deployment (CI/CD):
    Growing emphasis on methodologies and practices that support DevOps, including automation of testing and deployment processes to enhance software delivery efficiency.
  3. Blockchain and Smart Contracts:
    Emerging research on blockchain technology and smart contracts, focusing on their security implications and development processes, as they gain traction in various industries.
  4. Cybersecurity in Software Engineering:
    A rising trend in addressing security challenges within software development processes, with a focus on vulnerability detection and secure coding practices.
  5. Human-Centric Software Engineering:
    Increased attention on the human aspects of software development, including team dynamics, user experience, and the impact of organizational culture on software projects.

Declining or Waning

As the field of software engineering evolves, certain themes have seen a decline in focus within the journal. This section highlights these waning areas, reflecting shifts in research priorities and industry needs.
  1. Traditional Waterfall Methodologies:
    There is a noticeable decline in publications focused on traditional waterfall methodologies as the industry increasingly adopts Agile and DevOps practices.
  2. Manual Testing Practices:
    Research on manual testing techniques has decreased, with a shift towards automated testing solutions that leverage AI and machine learning.
  3. Legacy System Management:
    Interest in legacy systems and their management is waning, likely due to the industry's focus on modernizing applications and adopting cloud-based solutions.
  4. Single-Discipline Software Engineering:
    Publications that focus solely on specific disciplines within software engineering (e.g., programming languages) are less frequent, as interdisciplinary approaches become more prevalent.
  5. Static Analysis Tools:
    There has been a reduction in research dedicated specifically to static analysis tools, as dynamic and hybrid analysis methods gain popularity.

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