Software Size Measurement: Bridging Research and Practice

Abstract

Despite the availability of software size measures with proven effectiveness, structured characteristics, and reliability, practitioners often favor subjective estimation approaches like story points due to perceived ease and flexibility. Amid ongoing industry transformations driven by artificial intelligence, distributed architectures, and agile practices, innovative approaches to software size measurement are crucial to aligning research solutions with evolving industry demands. This study investigates the limited adoption of functional size measurement methods in the software development industry despite their research-backed success. By gathering insights from firms experienced in size measurement, the research aims to uncover industry expectations and facilitate the translation of theoretical methodologies into practical applications. This effort seeks to overcome barriers and promote the integration of novel concepts into the software development landscape. IEEE