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Extending the Project Management Body of Knowledge (PMBOK) for Data Visualization in Software Project Management

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Abstract

The human brain responds better to visual information when compared to plain text. In other words, our brain consumes visual information more easily than text-only content, which helps improve communication, sharing and retaining information, reducing misinterpretation, and clarifying complex information. However, most of the tools adopted for software project management are based on textual reports. The number of software projects that fail is huge, and the stakeholders’ lack of understanding of the project is among the reasons for project failure. The implementation of data visualization using techniques and tools for project management can help identify and prevent project issues such as unexpected budget increases, unrealistic deadlines, lack of clear goals, and success criteria. In this paper, we extend our previous work by evaluating the proposed data visualization extension for the Guide to the Project Management Body of Knowledge (PMBOK\(\text{\textregistered}\) guide) in terms of its applicability in software project management and alignment within the PMBOK guide. The results from the evaluation show that our proposal adds support to visual project management and helps to identify the status and progress of the project quickly and prevent future issues related to communication. Our proposal was also found to be helpful for less experienced software project managers.

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References

  1. Abad ZSH, Noaeen M, Ruhe G. Requirements engineering visualization: A systematic literature review. In: Requirements Engineering Conference (RE). IEEE, Beijing, CH; 2016. pp 6–15.

  2. Baum D, Schilbach J, Kovacs P, et al. Getaviz: Generating structural, behavioral, and evolutionary views of software systems for empirical evaluation. In: 2017 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, Shangahi, CH; 2017. pp 114–118, https://doi.org/10.1109/VISSOFT.2017.12.

  3. Brereton P, Kitchenham BA, Budgen D, et al. Lessons from applying the systematic literature review process within the software engineering domain. J syst softw. 2007;80(4):571–83.

    Article  Google Scholar 

  4. Clark W, Polakov WN, Trabold FW. The Gantt chart: A working tool of management. Ronald Press Company, New York; 1922.

    Google Scholar 

  5. Couto JMC. Métodos ágeis e pmbok: Uma revisão sistemática da literatura sobre o uso de abordagens híbridas no gerenciamento de projetos de software. Tech. rep., Faculdade Estácio do Rio Grande do Sul; 2016.

  6. Couto JMC. Técnicas de visualização de dados em gerenciamento de projetos de desenvolvimento de software: proposta de extensáo do PMBoK. Master’s thesis, School of Technology - PUCRS University; 2018. http://tede2.pucrs.br/tede2/handle/tede/8115.

  7. Couto JMC, Kroll J, Ruiz DD, et al. A pmbok extension proposal for data visualization in software project management. In: Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 2. SCITEPRESS; 2021. pp 54–65, https://doi.org/10.5220/0010454600540065.

  8. Geraldi J, Arlt M. Visuals Matter! Designing and using effective visual representations to support project and portfolio decisions. Philadelphia, USA: Project Management Institute; 2015.

    Google Scholar 

  9. Grainger S, Mao F, Buytaert W. Environmental data visualisation for non-scientific contexts: literature review and design framework. Environ Model Softw. 2016;85:299–318.

    Article  Google Scholar 

  10. Kirk J, Miller ML, Miller ML. Reliability and validity in qualitative research, vol. 1. Newbury Park, USA: Sage; 1986.

    Book  Google Scholar 

  11. Kirkpatrick EA. An experimental study of memory. Psychological Review. 1894;1(6):602.

    Article  Google Scholar 

  12. Kitchenham SB, Charters. Guidelines for performing systematic literature reviews in software engineering. Tech. rep., Keele University & Department of Computer Science, University of Durham; 2007.

  13. Lemieux F, Salois M. Visualization techniques for program comprehension. Tech. rep., Defence R & D Canada – Valcartier; 2006.

  14. Lu Q, Huang J, Zhang Q, et al. Evaluation on visualization methods of dynamic collaborative relationships for project management. Visual Comput. 2020;37:1–14.

    Google Scholar 

  15. Mattila AL, Ihantola P, Kilamo T, et al. Software visualization today: Systematic literature review. In: International Academic Mindtrek Conference, ACM; 2016. pp 262–271.

  16. McDermott T. Data, information, knowledge, and leadership in complex project management. In: 2019 IEEE Technology Engineering Management Conference (TEMSCON); 2019. pp 1–8, https://doi.org/10.1109/TEMSCON.2019.8813672.

  17. Morgan DL. The focus group guidebook, vol. 1. Newbury Park, USA: Sage publications; 1997.

    Google Scholar 

  18. Osterwalder A, Pigneur Y. Business model generation: a handbook for visionaries, game changers, and challengers. John Wiley & Sons, Hoboken; 2010.

    Google Scholar 

  19. Pfleeger SL, Kitchenham BA. Principles of survey research: part 1: turning lemons into lemonade. ACM SIGSOFT Softw Eng Notes. 2001;26(6):16–8.

    Article  Google Scholar 

  20. Pmi I. Government Extension to the PMBoK Guide. Philadelphia, USA: Project Management Institute; 2006.

    Google Scholar 

  21. Pmi I. Software Extension to the PMBoK Guide. Philadelphia, USA: Project Management Institute; 2013.

    Google Scholar 

  22. Pmi I. Construction Extension to the PMBoK Guide. Philadelphia, USA: Project Management Institute; 2016.

    Google Scholar 

  23. Pmi I. A Guide to the Project Management Body of Knowledge (PMBOK\(\text{\textregistered}\) Guide). 6th ed. Philadelphia, USA: Project Management Institute; 2017.

    Google Scholar 

  24. Rauch M, Kienreich W, Aquila G, et al. A visual approach to project and portfolio monitoring. In: 2013 17th International Conference on Information Visualisation. IEEE, London, UK; 2013. pp 313–318.

  25. Roam D. Unfolding the Napkin: The hands-on method for solving complex problems with simple pictures. New York, USA: Penguin; 2009.

    Google Scholar 

  26. Shahin M, Liang P, Babar MA. A systematic review of software architecture visualization techniques. J Syst Softw. 2014;94:161–85.

    Article  Google Scholar 

  27. Singh R, Lano K. Defining and formalizing project management models and processes. In: Science and Information Conference (SAI), 2014. IEEE, London, UK; 2014. pp 720–731.

  28. Stenberg G. Conceptual and perceptual factors in the picture superiority effect. Eur J Cognit Psychol. 2006;18(6):813–47.

    Article  Google Scholar 

  29. Sviokla J. Swimming in data? three benefits of visualization. https://hbr.org/2009/12/swimming-in-data-three-benefit 2009.

  30. Ward MO, Grinstein G, Keim D. Interactive data visualization: foundations, techniques, and applications. Natick, USA: CRC Press; 2010.

    Book  Google Scholar 

  31. Williams PR. Visual project management. In: PMI\(\text{\textregistered}\) Global Congress 2015—EMEA, London, England. Newtown Square, PA: Project Management Institute 2015.

  32. Winsor R. Diagonal network analysis–a new technique for project managers. Int J Project Manag. 1983;1(4):220–4.

    Article  Google Scholar 

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Acknowledgements

We thank the study participants and acknowledge that this research was partially sponsored by Dell Brazil using incentives of the Brazilian Informatics Law (Law no 8.2.48, year 1991).

Funding

This research was partially sponsored by Dell Brazil using incentives of the Brazilian Informatics Law (Law no 8.2.48, year 1991).

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Authors and Affiliations

Authors

Contributions

JC developed the extension, conceived and designed the mapping study, the focus group, and the two surveys, analyzed the data, wrote the paper, prepared figures and tables, reviewed drafts of the paper. JK helped design the evaluation survey, analyzed the data, wrote the paper, prepared figures and tables, reviewed drafts of the paper. DR and RP reviewed drafts of the paper.

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Correspondence to Julia Colleoni Couto.

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The authors declare that they have no conflict of interest.

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Informed consent was obtained from all individual participants included in the study.

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This article is part of the topical collection “Enterprise Information Systems” guest edited by Michal Smialek, Slimane Hammoudi, Alexander Brodsky and Joaquim Filipe.

Appendix A Context examples for PMBOK KAs.

Appendix A Context examples for PMBOK KAs.

Table 6 presents DV techniques and tools and context examples for each PMBOK KA.

Table 6 Data Visualization techniques and tools with context examples for each PMBOK KAs ([7])

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Couto, J.C., Kroll, J., Ruiz, D.D. et al. Extending the Project Management Body of Knowledge (PMBOK) for Data Visualization in Software Project Management. SN COMPUT. SCI. 3, 283 (2022). https://doi.org/10.1007/s42979-022-01168-z

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