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 💡 Introduction In jBPM , we often use DMN Decision Tables to define rules visually. But sometimes, the same logic (for calculations, validations, or text manipulation) is needed across multiple rules. Instead of repeating that logic, you can define it once as a 📦 Function inside DMN and reuse it in your Decision Tables, Literal Expressions, or Contexts. This makes your decision models more modular, maintainable, and business-friendly. 🧠 1️⃣ What Is a Function in DMN? In DMN, a function is a reusable piece of logic written in FEEL (Friendly Enough Expression Language) . It can accept input parameters and return values just like a normal programming function. ✅ Example of a simple FEEL function: function(x) x * 2 📊 You can define it: Inside a Context As a separate Decision node Or as a Business Knowledge Model (BKM) for global reuse ⚙️ 2️⃣ Why Use Functions in DMN Reason Benefit 🧾 Reusability Define once, use across multiple decisions ⚙️ Maintainab...

 💡 Introduction In real-world business processes, many workflows depend on decision logic — like approval rules, risk evaluation, eligibility checks, or pricing calculations. Instead of hardcoding this logic into Java, you can externalize and maintain it easily using 📊 DMN (Decision Model and Notation) integrated with ⚙️ jBPM . This approach separates process flow (BPMN) from business decisions (DMN) — making your automation more flexible, maintainable, and business-friendly. 🧩 1️⃣ What is DMN? DMN stands for Decision Model and Notation , a standard defined by OMG (Object Management Group). It allows you to model business rules and decision logic visually — like a table — instead of embedding them in code. ✅ In short: BPMN defines how the process flows. DMN defines what decision to take. ⚙️ 2️⃣ DMN in the jBPM ecosystem jBPM integrates DMN through the Drools DMN engine , which means you can: Model your decisions in a DMN editor Deploy them as part of a...