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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Project Management and Communication Software Selection Using the Weighted Regularized Hasse Method


DOI: http://dx.doi.org/10.15439/2017F346

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 919923 ()

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Abstract. This paper addresses the problem of selecting the most appropriate project management and communication software for a project having specific requirements. A four-stage procedure featuring the weighted regularized Hasse method is used to compare and rank the candidate tools. The ranking of the tools takes into consideration the importance of the functional and non-functional features of the project management systems with their respective weights based on the results of a questionnaire conducted among members of a dispersed international project team.


  1. F. Grisoni, V. Consonni, S. Nembri, R. Todeschini, “How to weight Hasse matrices and reduce incomparabilities,” Chemometrics and Intelligent Laboratory Systems, vol. 147, pp. 95–104, 2015, http://dx.doi.org/10.1016/j.chemolab.2015.08.006
  2. M. Velasquez, P.T. Hester, “An analysis of multi-criteria decision making methods,” International Journal of Operations Research, vol. 10, no. 2, pp. 56–66, 2013.
  3. N.S. Hill, K.M. Bartol, P.E. , Tesluk, G.A. Langa, “Organizational context and face-to-face interaction: Influences on the development of trust and collaborative behaviors in computer-mediated groups,” Organizational Behavior & Human Decision Processes, vol. 108, no. 2, pp. 187–201, 2009, http://dx.doi.org/10.1016/j.obhdp.2008.10.002
  4. M.B. O’Leary, J.N. Cummings, “The spatial, temporal, and configurational characteristics of geographic dispersion in work terms,” MIS Quarterly, vol. 31, no. 3, pp. 433–452, 2007
  5. T.U. Daim, A. Ha, S. Reutiman, B. Hughes, U. Pathak, W. Bynum, A. Bhatla, “Exploring the communication breakdown in global virtual teams,” International Journal of Project Management, vol. 30, no. 2, pp. 199–212, 2012, http://dx.doi.org/10.1016/j.ijproman.2011.06.004
  6. R.M. Verburg, P. Bosch-Sijtsema, M. Vartiainen, “Getting it done: Critical success factors for project managers in virtual work settings,” International Journal of Project Management, vol. 31, no. 1, pp. 68–79, 2013, http://dx.doi.org/10.1016/j.ijproman.2012.04.005
  7. J. Oliveira, A. Tereso, R.J. Machado, “An application to select collaborative project management software tools,” in: A. Rocha, A.M. Correia, F.B. Tan, K.A. Stroetmann (eds.), New Perspectives in Information Systems and Technologies, vol. 1, pp. 467–476, Cham: Springer, 2014, http://dx.doi.org/10.1007/978-3-319-05951-8_44
  8. B. Kutlu, A. Bozanta, E. Ates, S. Erdogan, O. Gokay, N. Kan, “Project management software selection using Analytic Hierarchy Process method,” International Journal of Applied Science and Technology, vol. 4, no. 6, pp. 113–119, 2014
  9. A.S.B. Ali, F.T. Anbari, “Project management software acceptance and its impact on project success,” in: K. Wikstrom, K.A. Artto (eds.), Proceedings of the International Research Network on Organizing by Projects, Turku: Abo Akademi University, 2004
  10. L. Carlsen, “Data analyses by partial order methodology,” Chemical Bulletin of Kazakh National University, vol. 2, pp. 22–34, 2015, http://dx.doi.org/10.15328/cb632
  11. P. Annoni, R. Bruggemann, L. Carlsen, “A multidimensional view on poverty in the European Union by partial order theory,” Journal of Applied Statistics, vol. 42, no. 3, pp. 535–554, 2015, http://dx.doi.org/10.1080/02664763.2014.978269
  12. G. Munda, Social multi-criteria evaluation for a sustainable economy, Berlin: Springer-Verlag, 2008
  13. R. Bruggemann, G.P. Patil, Ranking and prioritization for multi-indicator systems – introduction to partial order applications, New York: Springer, 2011
  14. R. Bruggemann, P. Annoni, “Average heights in partially ordered sets,” MATCH-Communications in Mathematical and in Computer Chemistry, vol. 71, no. 1, pp. 117–142, 2014
  15. M. Fattore, R. Bruggemann (eds.), Partial Order Concepts in Applied Sciences, Cham: Springer International Publishing, 2017
  16. J. Swacha, T. Komorowski, K. Muszyńska, Z. Drążek, “Acquiring Digital Asset Management System for an International Project Consortium,” Journal of Management and Finance, vol. 3, no. 1, pp. 91–102, 2013
  17. Capterra, 2016, http://www.capterra.com/project-management-software/#infographic, retrieved 5 May 2017
  18. PCMag, 2017, http://www.pcmag.com/article2/0,2817,2380448, 00.asp, retrieved 5 May 2017
  19. N. Ahmad, P. A. Laplante, “Software Project Management Tools: Making a Practical Decision Using AHP,” in: 30th Annual IEEE / NASA Software Engineering Workshop, pp. 76-84, Columbia: IEEE Computer Society, 2006, http://dx.doi.org/10.1109/SEW.2006.30
  20. pyHasse online tool. http://spyout.pyhasse.org, retrieved 5 May 2017
  21. K. Muszyńska, “Project Communication Management Patterns,” Annals of Computer Science and Information Systems, vol. 8 (Proceedings of the 2016 Federated Conference on Computer Science and Information Systems), pp. 1179–1188, 2016, http://dx.doi.org/10.15439/2016F235