The need for IT solutions is increasing from year to year, and the number of suitably qualified software engineers does not meet the needs of the market. To solve this, there are LCAP solutions on the market that can be used to reduce development and maintenance costs. They enable faster development of quality systems that are easier to maintain, reuse, and expand.
How effective they are also depends on how the RAD concepts are implemented in their tools. In this master’s thesis, we focused on comparing the use of RAD in LCAP solutions and tried to answer when code generators may be sufficient. For comparison, we developed a metric for evaluating RAD tools.
Based on the findings of the comparison, we improved the JHipster generator, intending to reduce the difference with LCAP.
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