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How to Succeed in Communicating Software Metrics in Organization?

Berbyuk Lindström, Nataliya, 1978 (författare)
Gothenburg University,Göteborgs universitet,Kollegium SSKKII (2010-),Institutionen för tillämpad informationsteknologi (GU),Software Center,Centre of Interdisciplinary Research/Cognition/Information. SSKKII (2010-),Department of Applied Information Technology (GU)
Asatiani, Aleksandre, 1987 (författare)
Gothenburg University,Göteborgs universitet,Software Center,Institutionen för tillämpad informationsteknologi (GU),Department of Applied Information Technology (GU)
Staron, Miroslaw, 1977 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Institutionen för data- och informationsteknik, datorteknik (GU),Software Center,Institutionen för tillämpad informationsteknologi (GU),Institutionen för data- och informationsteknik, Software Engineering (GU),Department of Computer Science and Engineering (GU),Department of Computer Science and Engineering, Computer Engineering (GU),Department of Applied Information Technology (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)
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Söder, Ola (författare)
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 (creator_code:org_t)
AMCIS 2022 TREO 80, 2022
2022
Engelska.
Ingår i: AMCIS (Americas Conference on Information Systems), Minneapolis, MI, August 10-14. - : AMCIS 2022 TREO 80.
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • While software metrics are indispensable for quality assurance, using metrics in practice is complicated. Quality, productivity, speed, and efficiency are important factors to be considered in software development (Holmstrom et al. 2006; Svensson 2005). Measuring correct metrics and using them in the right and transparent way contributes to pushing development in a desirable direction, leading to achieving projected goals and outcomes (Staron and Meding 2018). On the other hand, tracking the wrong metrics, and failing to interpret and communicate them properly results in a stressful work environment, conflicts, distrust, lower engagement, and decreased productivity (de Sá Leitão Júnior 2018; Ellis et al. 1991; Staron 2012). To ensure proper and effective use of metrics in organizations, successful communication around metrics is essential (Lindström et al. 2021; Post et al. 2002; Staron and Meding 2015). The purpose of this study is to understand and improve communication about metrics in contexts of contemporary software development practice in organizations. This is achieved by identifying the bottlenecks in the process of communication around metrics and how to overcome them in practice. Drawing on 38 semi-structured interviews and interactive workshops with metrics teams members and stakeholders from three organizations, we identify three interrelated challenges including limited knowledge about metrics and lack of terminology, uncoordinated use of multiple communication channels, and sensitivity of metrics, which influence workplace communication, trust, and performance. Our study shows the importance of developing metrics terminology to ensure the development of a shared understanding of metrics. Further, raising awareness about the affordances such channels as dashboards, email, MS Teams meetings/chat, stand up meetings, reports, etc., commonly used in software organizations, and how they can be combined to successfully transfer information about metrics is essential (Verhulsdonck and Shah 2020). It becomes especially important in remote work practices. Finally, though metrics is a powerful tool for decision making, enhancing transparency, and steering development in the desired direction, they can also turn into finger-pointing, blaming, and a pressing tool, resulting in stress and conflicts (Streit and Pizka 2011). The findings also indicate the importance of creating a culture around metrics, clarifying, and informing about the purpose of metrics in the organization (Umarji and Seaman 2008). We plan to build on the early findings of this study to develop a comprehensive framework for successful software metrics communication within organizations.

Ämnesord

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Mänsklig interaktion med IKT (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Human Aspects of ICT (hsv//eng)
SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Kommunikationsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Communication Studies (hsv//eng)
SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap -- Tvärvetenskapliga studier inom samhällsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Other Social Sciences -- Social Sciences Interdisciplinary (hsv//eng)
SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

communication
software metrics

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