Abstract

Team communication is considered as one of the key success factors in information system development projects. Its effective operation can only be ensured by monitoring of ongoing communication processes in a consistent and timely manner. Contemporary project management support software provide a wide range of team communication data which can be exploited for this purpose provided a convenient analysis tool is available. In this paper, we propose a novel approach based on graphical analysis of four indicators which measure the intensity of various aspects of users’ communication activity in periodic manner, so that communication problems can be identified and addressed in due time. We validate the usability of the proposed approach using a self-developed software suite on data acquired from a 3.5-year long international project which covered the development of a specialized content management platform.

Recommended Citation

Muszyńska K. & Swacha, J. (2021). Periodic Indicators for Graphical Monitoring of Team Communication in Information System Development Projects. In E. Insfran, F. González, S. Abrahão, M. Fernández, C. Barry, H. Linger, M. Lang, & C. Schneider (Eds.), Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings). Valencia, Spain: Universitat Politècnica de València.

Paper Type

Short Paper

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Periodic Indicators for Graphical Monitoring of Team Communication in Information System Development Projects

Team communication is considered as one of the key success factors in information system development projects. Its effective operation can only be ensured by monitoring of ongoing communication processes in a consistent and timely manner. Contemporary project management support software provide a wide range of team communication data which can be exploited for this purpose provided a convenient analysis tool is available. In this paper, we propose a novel approach based on graphical analysis of four indicators which measure the intensity of various aspects of users’ communication activity in periodic manner, so that communication problems can be identified and addressed in due time. We validate the usability of the proposed approach using a self-developed software suite on data acquired from a 3.5-year long international project which covered the development of a specialized content management platform.