Practitioners perceive software productivity as one of the most important subjects of software engineering (SE) because it connects technical to social and economic aspects. Nonetheless, software processes are complex and productivity means different things to different people. In order to realize the full contribution of software productivity research to the industrial practice of SE, the analysis and synthesis of existing practitioner viewpoints and concerns are required. A systematic mapping

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... study is developed here to investigate the existence of diverse empirical perceptions of productivity within the distinct business sectors and knowledge areas covered by the industrial practice of SE, also identifying the commonalities among them. This study adopts the DBLP and Scopus search engines to identify bibliographic references from 1987 to 2021 related to software productivity. References that do not correspond to complete not-later-subsumed articles published in peer-reviewed journals and proceedings are excluded from the analyses. Only papers reporting on empirical studies based on software industry data or that present industry practitioner viewpoints are included in these analyses. In total, 99 papers are analyzed. The mapping found great variability in study findings, particularly concerning the impacts of agile development practices on software productivity. The systematic mapping also drew methodological recommendations to help industry practitioners address this subject and develop further research.