Requirements Engineering with Integrated Generative AI
Discover the possibilities of generative AI in requirements engineering, which helps you generate more precise requirements and opens up new creative approaches.
With task-related prompts in objectiF RM and objectiF RPM, you can not only derive and refine requirements, but also generate complete test cases and transfer them easily. The seamless integration of AI functions into your existing processes enables fast and user-friendly operation.
How Generative AI Improves Your Requirements Engineering
A large number of complex requirements, unclear wording, and administrative overhead can lead to project delays or failure. Successful projects start with clear and well thought-out requirements. This is where our tool-integrated AI assistants come in: Using generative AI, they make your workflows smarter and more efficient.
Master the complexity of requirements
Large projects involve a large number of complex requirements, which can make their implementation more error-prone. This is where generative AI comes in, providing expert suggestions for creating requirements and associated test cases. Your benefit: greater accuracy and improved quality.
Efficient use of time and resources
Manually developing, reviewing, and maintaining requirements is time-consuming. Save valuable time by seamlessly integrating AI assistants into your existing workflows. AI assistants support your requirements engineering so your team can focus on creative tasks.
Avoid redundancies and inconsistencies
Large projects often have redundant or conflicting requirements. Our AI analyzes and takes into account existing requirements so that there is no overlap, duplication, or conflict. This increases the consistency of your requirements.
Clear and understandable language
Misunderstandings due to unclear requirements can be costly. Our AI assistants help you formulate requirements accurately to facilitate team collaboration and minimize errors.
Complete control over your data
Your data, your project, your rules. You decide what information is shared with the AI assistant. This ensures privacy-compliant assistance without compromise.
Generative AI in objectiF RM and objectiF RPM
Generating Requirements
You can use generative AI to derive and refine requirements from existing elements such as epics, user stories, or customer requirements. Specify which properties or relationships to include in the generation. Formulate your own prompts and repeat the generation process to emphasize specific aspects and achieve precise results, depending on your project context.
Generated requirements include a name, description, and acceptance criteria that you can apply directly or edit before applying. The quality of the results is improved and your processes are significantly accelerated. Requirements are automatically linked to related items. This allows them to be visualized in requirements diagrams and views of your RE process, ensuring traceability to the end of the project.
Generating Test Cases
Once your requirements and acceptance criteria are defined, Generative AI creates complete test cases with just a few clicks. This includes pre- and post-conditions, as well as detailed test steps that you can customize. Additional prompts can be used to further tailor the AI wizard to your specific needs. This reduces QA effort and provides a consistent and reliable testing foundation for your project.
Generative AI Best Practices
Use our tips for prompt engineering to get the most out of AI assistants:
- Provide details about the project context, project goals and stakeholders, and technical specifications.
- Use roles to narrow your instructions.
- For the most accurate results, write in the language of your role or provide examples.
- The more information you give the AI, the more accurate the results you get.
Avoiding Redundancies
Large projects in particular often have redundant or conflicting requirements. Generative AI helps you avoid this. It analyzes existing requirements and takes them into account when generating new proposals to minimize overlaps and inconsistencies. This keeps your requirements management consistent and saves you valuable time in quality assurance.
The Benefits of objectiF RPM with AI
Productivity
AI assistants quickly and accurately generate requirements and suggest contextual improvements. It’s all right there in your usual setting.
Quality Assurance
Based on the requirements, the AI creates customized test cases with descriptions, pre- and post-conditions, and the necessary test steps.
Traceability
Thanks to the highly integrated use of AI in objectiF RPM, you receive results whose origin and relationships to other requirements are fully traceable.
Scalability
Especially in large and complex projects, you achieve the highest added value when similarities, contradictions and inconsistencies are checked by AI in objectiF RPM.
Multilingual
AI assistants can process, translate, and adapt requirements in multiple languages, making it easier to collaborate on international projects.
Creativity
Your employees will gain new perspectives in the form of constructive suggestions for the creation of requirements and test cases, which will increase creativity in the implementation of their tasks.
Requirements for Generative AI in objectiF RM and objectiF RPM
The following technical requirements must be met to integrate generative AI into your environment:
Docker set up
A working Docker installation allows you to quickly and easily get up and running with the included Docker container.
API-subscription with OpenAI
An active API subscription is required to use the AI models.
Microsoft Azure
Alternatively, you can deploy the AI models through your own Azure cloud environment. In this case, deployment takes place directly in your Azure infrastructure.
Harness the Power of AI With the Right Software for Your Projects
objectiF RM
The Requirements Engineering and Management Software.
objectiF RPM
The Requirements Engineering and Project Management Software.
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