AUTHOR GUIDELINES

1. Author Guidelines

In accordance with the OJS platform used by MIRAI, apply the following rules to the author identity section:

  • First Author: The individual whose name appears first. Ensure that the data in the manuscript matches the metadata entered into the system exactly.

  • Corresponding Author:

    • Must be identified with an asterisk (*) after their name.

    • Must provide a valid email address (institutional email is highly recommended).

    • Is responsible for checking the "Principal contact for editorial correspondence" box during the web submission process.

  • No Academic Titles: Do not include academic titles or degrees (e.g., S.Kom, M.T, M.Sc, or Ph.D.) in either the manuscript file or the system metadata.

2. AI & Software Engineering Metadata Structure

To ensure your paper is well-indexed in technology databases, follow these metadata entry rules:

  • Title: Must be specific and descriptive. Avoid overly broad titles.

    • Poor: "AI Implementation in Software."

    • Good: "Optimizing Automated Software Testing using CNN-Based Deep Learning Algorithms."

  • Keywords: Use a minimum of 3–5 keywords separated by commas. Use specific technical terms relevant to the field.

    • Example: Artificial Intelligence, Software Development Life Cycle (SDLC), MLOps, Automated Testing.

3. Manuscript Systematics (Template Rules)

The MIRAI Journal generally follows the IMRaD (Introduction, Methods, Results, and Discussion) structure. Ensure your manuscript meets the following requirements:

  • Abstract: Maximum 200–250 words. It must include: the core problem, the AI method used, research results, and a brief conclusion.

  • Introduction: Clearly define the "research gap." Explain why the proposed AI method is necessary to solve the specific problem within the Software Engineering context.

  • Methods: Provide a detailed explanation of your AI architecture (e.g., if using Neural Networks, describe the layers). For Software Engineering topics, include system flowcharts or UML diagrams where necessary.

  • Results & Discussion: Present data using tables or graphs. Compare your AI model’s performance against conventional methods or baselines.

  • References: Use citation management tools such as Mendeley or Zotero. Follow the specific citation style (usually APA or IEEE) as required by MIRAI.