What are the benefits and challenges of applying patterns to IoT requirements engineering?

2 How to find and select patterns for IoT RE?

Finding and selecting patterns for IoT RE can be difficult, as there is no single source for comprehensive patterns for IoT systems. You may need to search various repositories, books, articles, or websites and evaluate their relevance, applicability, and quality for your project. Additionally, you may need to customize or combine patterns to fit your needs or even create your own patterns if none are available. When selecting patterns for IoT RE, consider the scope and level of abstraction of your requirements, the characteristics and constraints of your IoT system, and the goals and preferences of your stakeholders. Analyze the main features, components, interactions, and dependencies of your system as well as the technical, environmental, and social factors that affect it. Also take into account the needs, expectations, and concerns of users, customers, developers, and regulators. Determine how they prefer to communicate and document their requirements.

3 How to document and specify patterns for IoT RE?

Documenting and specifying patterns for IoT RE can be difficult, as there is no standard or widely accepted notation or methodology for doing so. Depending on the type, complexity, and audience of your requirements, you may need to use different tools, languages, or formats. It's important to consider the purpose and audience of your patterns, the structure and content of your patterns, as well as the notation and format of your patterns. You must also balance the trade-offs between expressiveness, readability, and verifiability of your patterns. When documenting and specifying patterns for IoT RE, you should think about why you are creating the patterns and who will use them. Additionally, you should consider what information to include in your patterns such as problem, context, solution, examples, variants or related patterns. Lastly, you should decide how to represent your patterns visually or textually and what symbols, keywords or conventions to use.

4 How to validate and evaluate patterns for IoT RE?

Validating and evaluating patterns for IoT RE can be difficult, as there is no obvious or objective way to measure the quality or effectiveness of your patterns. You may need to use various methods, criteria, or metrics to validate and evaluate your patterns, depending on the type, complexity, and context of your requirements. Additionally, you may need to involve stakeholders, experts, or users to provide feedback, suggestions, or ratings for your patterns. When validating and evaluating patterns for IoT RE, you should consider the goals and objectives of your validation and evaluation. Additionally, you should consider the methods and techniques of your validation and evaluation such as what data, evidence, or arguments will you use? What tools, frameworks, or models will you use? Finally, you should consider the criteria and metrics of your validation and evaluation such as completeness, correctness, consistency, clarity, usability, or reusability.

5 How to manage and evolve patterns for IoT RE?

Managing and evolving patterns for IoT RE can be difficult, as there is no easy way to maintain or update them. The size, complexity, and dynamism of your requirements will determine the strategies, processes, or practices you need to use. To manage and evolve patterns for IoT RE, you should take into account the lifecycle and governance of your patterns. This includes who will own and control them, as well as how you will track and audit them. Additionally, consider the change and adaptation of your patterns. This includes how you will identify changes that affect them, as well as how to ensure compatibility or interoperability. Finally, think about the improvement and innovation of your patterns. This involves learning from feedback and experiences, refining or optimizing them, and discovering or creating new patterns.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?