Software and Systems Modeling

Scope & Guideline

Advancing the Art of Software Engineering

Introduction

Welcome to the Software and Systems Modeling information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Software and Systems Modeling, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1619-1366
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2005 to 2024
AbbreviationSOFTW SYST MODEL / Softw. Syst. Model.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

The journal 'Software and Systems Modeling' focuses on advancing methodologies and practices in software and systems modeling. It emphasizes the integration of theoretical frameworks with practical applications, aiming to improve the overall quality and effectiveness of modeling practices in various domains.
  1. Modeling Methodologies:
    The journal encompasses a wide range of methodologies for software and systems modeling, including model-driven engineering, domain-specific modeling languages, and formal methods. It aims to propose and refine techniques that enhance the rigor and applicability of modeling practices.
  2. Interdisciplinary Approaches:
    Research published in the journal often intersects with disciplines such as artificial intelligence, data science, and systems engineering. This interdisciplinary focus fosters innovative solutions to complex modeling challenges.
  3. Practical Applications:
    The journal highlights the application of modeling techniques in real-world scenarios, including industry-specific applications in areas like IoT, software engineering, and business process management. This emphasis on practical relevance supports the journal's goal of bridging theory and practice.
  4. Evaluation and Verification:
    A significant aspect of the journal's scope includes the evaluation and verification of modeling tools and methodologies. This encompasses empirical studies, case studies, and systematic reviews that assess the effectiveness of different modeling approaches.
  5. Emerging Technologies:
    The journal is committed to exploring modeling in the context of emerging technologies such as cloud computing, blockchain, and AI. This focus ensures that the research remains relevant in the rapidly evolving technological landscape.
The journal 'Software and Systems Modeling' has identified several trending and emerging themes that reflect current research interests and technological advancements. These themes indicate a dynamic field that is responsive to new challenges and opportunities.
  1. AI and Machine Learning in Modeling:
    Recent publications highlight the integration of AI and machine learning techniques into modeling practices, particularly in automating model generation and enhancing model verification processes. This trend signifies a move towards more intelligent and adaptive modeling frameworks.
  2. Low-Code and No-Code Development:
    There is a growing emphasis on low-code and no-code platforms within the modeling community. Research focusing on these approaches aims to democratize software development and enable non-technical users to engage in modeling activities.
  3. Sustainability and Ethical Modeling:
    Emerging themes include modeling for sustainability and addressing ethical considerations in software design. This reflects a broader societal shift towards responsible technology development and the need for models that account for social and environmental impacts.
  4. Digital Twins and Cyber-Physical Systems:
    The concept of digital twins and their application in modeling cyber-physical systems is gaining traction. This trend showcases the need for real-time, data-driven models that can represent complex interactions in physical and digital environments.
  5. Interoperability and Standardization:
    Research focusing on interoperability among different modeling languages and tools is on the rise. This trend highlights the importance of creating standardized approaches to enhance collaboration and integration across diverse modeling environments.

Declining or Waning

While 'Software and Systems Modeling' has consistently published influential research across various domains, certain themes have shown signs of decline in recent years. These waning scopes indicate shifts in research priorities or the maturation of specific topics within the community.
  1. Traditional Software Development Models:
    There has been a noticeable decline in publications focused on traditional software development models, such as Waterfall or V-Model approaches. This shift reflects a growing industry preference for agile and iterative methodologies.
  2. Basic Model Transformation Techniques:
    Research centered on fundamental model transformation techniques appears to be waning, possibly due to the emergence of more sophisticated and automated approaches that leverage AI and machine learning.
  3. Static Analysis Techniques:
    The prevalence of papers focusing solely on static analysis of models has decreased, as researchers are increasingly integrating dynamic analysis and real-time validation methods to address modern software challenges.
  4. Single-Domain Focused Studies:
    There is a trend away from studies that focus exclusively on a single domain of modeling. Instead, interdisciplinary and multi-domain studies are becoming more prevalent, reflecting a broader understanding of the interconnected nature of modeling in various contexts.

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