Estimating workloads is crucial in mastering software development. This can be achieved either as an ongoing development part of agile teams or in response to tenders as a cost estimate before migration, among other ways.
This paper presents a novel hybrid method for software cost estimation that discretizes software into smaller tasks and uses both expert judgment and algorithmic techniques. By using a two-factor qualification system based on volumetry and complexity, we present a more adaptive and scalable model for estimating software project duration, with particular emphasis on large legacy migration projects.
#software-development #workload-estimation #cost-estimation #hybrid-method #legacy-migration-projects
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