LedaMC has taken a major step towards democratising the estimation of software development projects with the launch of its smart estimation tool. This application, which incorporates generative artificial intelligence, allows for obtaining estimates of effort and cost based on the software product without the need for technical knowledge and up to 12 times faster than before.
LedaMC, The technical barrier
Previously, software estimating was dominated by technical teams, as evaluations were based on the expertise of vendors and developers and focused on technical implementation. This created a “technical dictatorship” where non-technical people could neither make nor review estimates, leaving them dependent on uncertain negotiations. It is similar to needing mechanical knowledge to value the price of a car, rather than looking at its features.
From natural language to precise estimates
To address this challenge, Quanter, which since its first version has integrated the ISO standard methodology recommended by the European Union for the measurement of software products, has developed its own LLM model based on OpenAI’s ChatGPT. This model allows Quanter AI to understand user requirements in natural language, measure them according to the methodology, and present the measurement to the user for validation and approval.
Market-based estimates
With this functionality and its market reference database, Quanter can calculate the cost and effort of a project based on market conditions. Quanter AI makes it easy to both budget and understand the cost of a development. It allows you to evaluate the cost, effort and quantity of software product in relation to market trends and standards, offering a complete and contextualized view thanks to its database with more than 84,000 references of software development projects.
