e-Informatica Software Engineering Journal

Scope & Guideline

Advancing software engineering through open access research.

Introduction

Explore the comprehensive scope of e-Informatica Software Engineering Journal through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore e-Informatica Software Engineering Journal in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1897-7979
PublisherWROCLAW UNIV TECHNOLOGY, FAC COMPUTER SCIENCE & MANAGEMENT
Support Open AccessYes
CountryPoland
TypeJournal
Convergefrom 2012 to 2024
AbbreviationE-INFORMATICA / e-Informatica
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWYBRZEZE WYSPIANSKIEGO 27, WROCLAW 50-370, POLAND

Aims and Scopes

The e-Informatica Software Engineering Journal focuses on disseminating innovative research in software engineering, incorporating both theoretical and practical aspects. The journal aims to bridge the gap between academia and industry by addressing contemporary challenges in software development through empirical studies, systematic reviews, and novel methodologies.
  1. Software Development Methodologies:
    The journal emphasizes various software development methodologies, including Agile, DevOps, and low-code platforms, exploring their effectiveness and impact on software quality and team collaboration.
  2. Machine Learning and AI in Software Engineering:
    A significant focus is placed on integrating machine learning and AI techniques into software engineering practices, including predictive modeling, automated testing, and code analysis, highlighting the evolving role of AI in improving software processes.
  3. Code Quality and Maintenance:
    The journal consistently addresses issues related to code quality, maintenance, and refactoring, including studies on code smells, anti-patterns, and legacy system migration, emphasizing the importance of sustainable software development.
  4. Empirical Research and Case Studies:
    A strong commitment to empirical research is evident, with numerous studies based on real-world data and case studies, providing insights into developer behavior, software evolution, and the practical application of theoretical concepts.
  5. Systematic Reviews and Meta-Analyses:
    The journal regularly publishes systematic literature reviews and meta-analyses, contributing to the consolidation of knowledge in software engineering and offering a comprehensive overview of existing research trends.
Recent publications in the e-Informatica Software Engineering Journal indicate a shift towards several emerging themes that reflect current trends in software engineering. These themes highlight the journal's responsiveness to technological advancements and industry needs.
  1. Integration of AI and Machine Learning:
    There is a growing trend in the application of AI and machine learning techniques to various aspects of software engineering, such as code review, defect prediction, and performance enhancement, showcasing the industry's push towards intelligent software solutions.
  2. Low-Code and No-Code Development Platforms:
    The rise of low-code and no-code platforms is gaining attention, with research focusing on their impact on software development efficiency and accessibility for end-user developers, reflecting a significant shift in how software is created.
  3. Ethics and Governance in AI Systems:
    Recent themes have begun to address the ethical implications and governance of AI systems in software engineering, indicating a growing awareness of the importance of responsible AI development in the industry.
  4. Microservices and Cloud Computing:
    The transition to microservices architecture and cloud computing is increasingly examined, with studies focusing on migration challenges, performance optimization, and workload prediction, reflecting the industry's shift towards scalable and flexible solutions.
  5. Developer Experience and Sentiment Analysis:
    Research on developer experience, including sentiment analysis of developer interactions and experiences, is emerging as a vital area of study, emphasizing the importance of understanding developer needs and improving team dynamics.

Declining or Waning

While the journal has maintained a robust focus on several core areas, certain themes have seen a decline in prominence over time. This section outlines these waning themes and their potential implications.
  1. Traditional Software Engineering Practices:
    There is a noticeable decrease in publications focusing on traditional software engineering practices, such as waterfall methodologies, as the field shifts towards more agile and adaptive approaches.
  2. Basic Software Metrics and Measurement:
    Research centered around basic software metrics and measurement techniques has become less frequent, possibly due to the increasing complexity of software systems and the need for more advanced metrics that capture modern challenges.
  3. Static Code Analysis Techniques:
    The focus on static code analysis techniques appears to be waning, replaced by more dynamic approaches that incorporate machine learning and AI, reflecting a shift in how developers approach code quality.
  4. Human-Computer Interaction in Software Engineering:
    Research related to human-computer interaction (HCI) within the context of software engineering is less prevalent, indicating a potential shift towards more technical aspects of software development over user-centered design.
  5. Legacy System Studies:
    While still relevant, studies specifically addressing legacy systems are appearing less frequently, possibly due to the industry's trend towards modernization and the adoption of microservices and cloud solutions.

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