<![CDATA[Purpose – This study examines the sensitivity of McCall-based software quality measurement to alternative weight normalization intervals and rounding configurations. It specifically evaluates whether different weighting schemes produce consistent Total Quality scores and quality classifications when the evaluated system, criteria values, and aggregation procedures remain unchanged. Design/methods/approach – A quantitative experimental design was applied to the Product Operation dimension of the McCall model using Simponi, a web-based learning management system at Universitas Multi Data Palembang, as the case study. Criteria values were obtained from 166 student respondents, while indicator importance ratings were provided by two software engineering experts. Three normalization intervals, namely 0.1–0.5, 0.1–0.4, and 0.4–0.8, were evaluated using floor and ceiling rounding configurations. The resulting scores were calculated through hierarchical weighted additive aggregation. Findings – Weight normalization substantially influenced the resulting software quality assessment. The moderate and expanded weighting schemes produced comparable Total Quality outcomes and consistently classified the evaluated system at the highest quality level, whereas the compressed weighting scheme generated a lower overall assessment and shifted the system into a lower quality category. In contrast, differences between floor and ceiling rounding configurations were negligible and did not alter the resulting quality classification. Research implications/limitations – Weight normalization should be explicitly documented and standardized to improve comparability across McCall-based evaluations. The findings are limited to the Product Operation dimension, three predefined intervals, and one academic web application. Originality/value – This study provides empirical sensitivity evidence showing that weight interval selection is a substantive methodological decision that can alter software quality interpretations, whereas rounding configurations have negligible practical effects.]]>
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