Board Mining: Understanding the Use of Board-Based Collaborative Work Management Tools





Publicado en

Actas de las XVIII Jornadas de Ciencia e Ingeniería de Servicios (JCIS 2023)

Licencia Creative Commons


Board-Based Collaborative Work Management Tools (BBTs) like Trello and Microsoft Planner are widespread and massively used. Their use includes the management of projects, static information, or processes, which is achieved by assigning and moving cards through lists representing specific states, steps, or other classification criteria. BBTs are a flexible solution as boards, lists and cards can be changed by the user to adapt to new situations, e.g., changes in the processes or projects. However, understanding how a board is being used is challenging because what can be seen at a glance is a static snapshot of its current state. BBTs usually produce logs that capture all the activity that has taken place within the boards. In this paper, we leverage that data for mining BBT logs to understand how boards are used and evolve over time. The contribution is three-fold: (i) we characterize boards according to their components and the behavior detected based on their use during a specific time period; (ii) we detect structural changes in the boards, which may imply board redesigns, and visualize the evolution of the boards’ lists; and (iii) we define a set of metrics to assess relevant features of BBT boards, which enables the classification of the boards led by BBT design patterns. To validate the approach, we have conducted an empirical analysis with more than 60 real event logs and a use case.


Acerca de Bravo, Alfonso

Palabras clave

Board-based Tools, Board Mining, Collaborative Work Management Tools, Design Patterns
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