The soft side of hard metrics: Lessons from software development in multinational organizations

Software metrics are widely used in agile development to enhance productivity, quality, and decision-making. However, their effectiveness is often hindered by communication challenges that arise from differing stakeholder perspectives, organizational structures, and the social dynamics of software t...

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Vydáno v:	Business horizons
Hlavní autoři:	Lindström, Nataliya Berbyuk, Asatiani, Aleksandre, Mankevich, Vasili, Zhang, Yixin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.11.2025
Témata:	Change management Communication Digital transformation Information Systems Information Systems, Social aspects Programvaruteknik Software Engineering Software metrics Software metricsDigital transformationCommunicationChange management Systemvetenskap, informationssystem och informatik Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning Change management Software metrics Digital transformation Communication
ISSN:	0007-6813
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Shrnutí:	Software metrics are widely used in agile development to enhance productivity, quality, and decision-making. However, their effectiveness is often hindered by communication challenges that arise from differing stakeholder perspectives, organizational structures, and the social dynamics of software teams. This paper explores these challenges through an empirical study of four multinational industrial organizations in Sweden and Germany. We identify key obstacles, including a lack of shared understanding of metrics, unclear stakeholder roles, ineffective communication channels, and the unintended use of metrics as tools for criticism rather than improvement. Based on our findings, we propose a framework of best practices to enhance metrics communication, foster transparency, and ensure that metrics support constructive feedback rather than causing resistance. By addressing the human factors in software measurement, organizations can improve collaboration, decision-making, and the overall positive impact of their metrics programs.
ISSN:	0007-6813
DOI:	10.1016/j.bushor.2025.11.003