Rocky has a wide range of content to help users get the most out of the software. In this FAQ, we answer the Top 10 Rocky Content Frequently asked questions. Click here to learn more: https://lnkd.in/d3ddWztw #engineering #dem #particle #simulation
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Navigating the Lifecycle: Software vs. Physical Products In the realm of product development, the lifecycle of a software product diverges significantly from that of a physical one. Unlike physical products, software evolves continuously, traversing through phases of conception, development, deployment, and maintenance in a perpetual loop. Software engineering encounters unique challenges due to this dynamic lifecycle. Unlike physical products with finite versions, software undergoes iterative updates, making predicting its lifecycle challenging. Additionally, software's intangible nature allows for easier modifications but also demands stringent quality control to prevent bugs and vulnerabilities. Furthermore, software products often face scalability issues, especially with rapidly growing user bases. Unlike physical products, which may require significant manufacturing adjustments for scaling, software can adapt more flexibly but may encounter performance bottlenecks. Maintenance presents another hurdle, as software requires ongoing updates to adapt to evolving technologies and user needs. This constant upkeep demands significant resources and attention, unlike physical products that may have more predictable maintenance schedules. Despite these challenges, the dynamic nature of software allows for rapid innovation and adaptation, enabling it to stay relevant in an ever-changing market landscape. Understanding and navigating these unique aspects of the software lifecycle are essential for software engineers to create successful and sustainable products in today's digital age.
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𝐄𝐚𝐠𝐞𝐫 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐡𝐨𝐰 𝐒𝐜𝐚𝐝𝐞 𝐎𝐧𝐞 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐬 𝐢𝐧𝐭𝐨 𝐚 𝐌𝐨𝐝𝐞𝐥-𝐁𝐚𝐬𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐌𝐁𝐒𝐄) 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰? 👇 Check out this new blog post and learn how #Scade One, an open model-based ecosystem is ready for #mbse
Scade One - An Open Model-Based Ecosystem, Ready for MBSE - Ansys Knowledge
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Imagine a world where your software heals itself, much like our own bodies recover from a cold. Well, now it's a reality due to a Self-Healing Code, a groundbreaking technology that uses AI and ML to detect, diagnose, and repair software issues automatically. How to implement a Self-Healing Code? 1️⃣ Implement monitoring tools to continuously track software health, creating alerts for potential issues. 2️⃣ Use ML algorithms to analyze alerts, learning from historical data for accurate error diagnosis. 3️⃣ Upon issue identification, enable the system to implement repairs autonomously - restarting components, applying patches, or modifying code parameters. 4️⃣ Seamlessly incorporate self-healing mechanisms into your CI/CD pipelines, ensuring these capabilities are integral to your software systems. 5️⃣ Use an Internal Development Platform to optimize tech workflow and enhance developer experience, investing in productivity and uninterrupted software operation. What tools might you need? Kubernetes, Spring Boot, Prometheus, Transformatic, and similar tools allow you to implement self-healing strategies effectively. Have you ever thought of implementing self-healing code in your organization?
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💡 Seeking solutions for working on your complex #EmbeddedSystems projects? 💁We have a knowledge source article that may be right for you. 🆕How to integrate multiple SCADE models into one executable #SafetyCriticalSystems #embeddedsoftware
How to integrate multiple SCADE models into one executable - Ansys Knowledge
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Embedded software developers have different strategies for integrating software components as the project progresses through the development cycle. Here are a few strategies, along with pros and cons, worth considering for developers of high-assurance software using Ansys SCADE. #ansys #embeddedsoftware
💡 Seeking solutions for working on your complex #EmbeddedSystems projects? 💁We have a knowledge source article that may be right for you. 🆕How to integrate multiple SCADE models into one executable #SafetyCriticalSystems #embeddedsoftware
How to integrate multiple SCADE models into one executable - Ansys Knowledge
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💡 Seeking solutions for working on your complex #EmbeddedSystems projects? 💁We have a knowledge source article that may be right for you. 🆕How to integrate multiple SCADE models into one executable #SafetyCriticalSystems #embeddedsoftware
How to integrate multiple SCADE models into one executable - Ansys Knowledge
ansyskm.ansys.com
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Should software prototypes include automated tests? 🤔 As with most software engineering decisions, it depends. But on what exactly? Let’s break it down: 1️⃣ Mission-criticality: If lives depend on it—think self-driving cars or elevators—automated tests are non-negotiable. Even for a prototype, tests help reduce faults and create a baseline spec that evolves as the project matures. The higher the stakes, the stronger the case for tests. 2️⃣ Time to market: Prototypes often need to be delivered at lightning speed. If you're building something purely for a quick demo or proof-of-concept, structured manual testing might suffice. Just remember—this is fine only if it’s never going to touch production workloads. 3️⃣ Future plans: Ask yourself: Will this code be reused? Will it evolve into the final product? Will a larger team maintain it later? If the answer is yes, you’re better off including tests now. Adding them later is always harder. 4️⃣ Scrap or scale: If the prototype is a throwaway—meant to be replaced by something new—automated tests may not be necessary. But if the goal is to refine and scale, even minimal test coverage can save you from future headaches. My Take 🎯 Personally, I rarely skip writing tests. Even in prototypes, they provide clarity, confidence, and a safety net. But ultimately, the decision depends on your project goals, timelines, and constraints. Prototyping is both an art and a science. The best approach is the one that balances speed with long-term value. What’s your view? Are automated tests a must for prototypes, or do you skip them to move fast? Let me know in the comments! 🚀 #SoftwareEngineering #Prototyping #BestPractices
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Do you use #SCADE to develop safe embedded software? Do you already have a CI/CD pipeline in place around it? If not, come check out our new article that explains how to set one up.
Setting up a Continuous Integration / Continuous Delivery (CI/CD) workflow with SCADE - Ansys Knowledge
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Here is the next installement of Lauro Rizzatti's article series on software development "The Immensity of Software Development and the Challenges of Debugging (Part 3 of 4)." The article discusses how software debugging varies significantly across different layers of the software stack. From bare-metal software needing deep hardware interaction to application software focusing on logic and user experience, each layer presents unique challenges and requires specialized tools. The article also looks at processor trace as a powerful method for debugging, capturing detailed execution history with minimal system performance impact. Hardware dependency reduces as we move up the stack, with bare-metal software being highly hardware-dependent, while applications are more hardware-independent. The evolution of debugging tools is set to embrace AI and machine learning, promising predictive capabilities and automated solutions, aiming to enhance efficiency and accuracy in identifying and resolving software issues across all layers. Bottom line, effective debugging is crucial for reliable software development. Synopsys Inc https://bit.ly/4e2XtON
The Immensity of Software Development and the Challenges of Debugging (Part 3 of 4) - Semiwiki
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