ScopeMaster is the award-winning tool for software projects. It reads, analyses, sizes and helps you improve your software backlog faster and more thoroughly than previously possible.
ScopeMaster leads to better requirements, and better requirements leads to less waste.
pre.dev accelerates idea to development. Chat with the pre.dev AI and receive full software architecture, recommended tech stack, statements of work, and automatic creation of JIRA tasks. You can also request developers to build out the project!
ScopeMaster's answer
pre.dev's answer:
ScopeMaster's answer
ScopeMaster is the only tool that: - Automates functional sizing in both leading ISO standards (COSMIC and IFPUG) - Produces consistent results for functional interpretation. - Performs quality assurance of requirements sets - Generates use case model diagrams
pre.dev's answer:
We are the only end-to-end solution for planning and visually explaining how to get from an idea to reality.
ScopeMaster's answer
When you want to achieve the highest level of early insight into a software endeavour - before investing in design and build.
pre.dev's answer:
One could technically recreate pre.dev with the correct training data and prompt engineering and training their own LLM, but this would costly in both $$$ and time.
ScopeMaster's answer
Organisations that are keen to deliver large software projects with greater confidence.
pre.dev's answer:
Freelance agencies are using this tech as an embedded widget on their site where prospective clients discuss their project and request a meeting with the agency. The agencies are able to view each client's project in detail before they even meet the client.
Founders are also using it to map out their MVPs and request a meeting with pre.dev to actually get the MVP built.
ScopeMaster's answer
ScopeMaster started in 2017 as an experiment to automate functional sizing. It is now a globally-used award-winning product that it is delivering major savings for customers.
pre.dev's answer:
My co-founder and I ran a boutique consulting firm and realized we were spending too much time understanding client requirements to get started on the project. We figured that we could specially train an LLM to understand a client's requirements and convert it into a knowledge graph and statement of work
ScopeMaster's answer
We use a number of technologies. For the interpretation engine that gives consistent results we use NLP. Our server edition is available as a Docker image.
pre.dev's answer:
Frontend - React
Backend - Node Js Express - Llama 2 - GPT 4
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