One of the activities for improvement of project management (PM) quality is to introduce or change PM software to a more suitable one for an appropriate project and team. After implementation of the new PM software, it is useful to understand real improvement and effectiveness of the PM software usage. The objective of the present research is to identify characteristics and methods for effectiveness measurement of the PM software usage and demonstrate its application for the case study to measure project team efficiency after the PM software implementation and assess impact of the PM software usage on the project performance. Mann-Whitney test and Spearman correlation coefficient have been used to analyse relevance between the PM software usage characteristics and project performance indicators with the purpose to determine the PM software usage impact on the project performance and PM quality. The case study has been performed at the State Social Insurance Agency. In order to increase PM quality, Redmine (free of charge PM software) has been implemented.
 N. I. Jabbouri, R. Siron, I. Zahari and M. Khalid, “Impact of Information Technology Infrastructure on Innovation Performance: An Empirical Study on Private Universities In Iraq,” Procedia Economics and Finance, vol. 39, pp. 861-869, 2016. https://doi.org/10.1016/s2212-5671(16)30250-7
 R. Frese, “Project Success and Failure: What is Success, What is Failure, and How Can You Improve Your Odds for Success?” St. Louis, Missouri, Dec. 2003.
 E. Brynjolfsson and L. M. Hitt, “Beyond Computation: Information Technology, Organizational Transformation and Business Performance,” J. of Economic Perspectives, vol. 14, no. 4, pp. 23-48, fall 2000. https://doi.org/10.1257/jep.14.4.23
 R. Pellerin, N. Perrier and X. Guillot, “Project Management Software Utilization and Project Performance,” Procedia Technology, vol. 9, pp. 857-866, 2013. https://doi.org/10.1016/j.protcy.2013.12.095
 A. Schwer, D. Dufner and Mourcous G, “Project Management Informatics,” in Proc. of the 2005 Midwest Section Conf. of the American Society for Eng. Educ., 2005, pp. 1-5.
 L. Raymond and F. Bergeron, “Impact of Project Management Information Systems on Project Performance,” Handbook on Project Management and Scheduling Vol. 2 (International Handbooks on Information Systems). Springer International Publishing, 2014, pp. 1339-1354. https://doi.org/10.1007/978-3-319-05915-0_30
 J.-P. Lang, Redmine, 2006. [Online]. Available: http://www.redmine.org/ Accessed on: March 20, 2015.
 B. Kitchenham and S. Charters, “Guidelines for performing Systematic Literature Reviews in Software Engineering,” Keele University and Durham University Joint Report 2007.
 S. Rivard and R. Dupré, “Information systems project management in PMJ: A brief history,” Project Manage. J., vol. 40, issue 4, pp. 20-30, Dec. 2009. https://doi.org/10.1002/pmj.20143
 C. Marinagi, P. Trivellas and D. P. Sakas, “The Impact of Information Technology on the Development of Supply Chain Competitive Advantage,” Procedia - Social and Behavioral Sciences, vol. 147, pp. 586-591, Aug. 2014. https://doi.org/10.1016/j.sbspro.2014.07.161
 H. Son, N. Hwang, C. Kim and Y. Cho, “Construction professionals’ perceived benefits of PMIS: The effects of PMIS quality and computer self-efficacy,” KSCE Journal of Civil Eng., vol. 20, issue 2, pp. 564-570, March 2016. https://doi.org/10.1007/s12205-015-0138-1
 D. W. Jorgenson, M. S. Ho and J. D. Samuels, “The impact of information technology on postwar US economic growth,” Telecommunications Policy, vol. 40, issue 5, pp. 398-411, May 2016. https://doi.org/10.1016/j.telpol.2015.03.001
 L. Raymond and F. Bergeron, “Project management information systems: An empirical study of their impact on project managers and project success,” Int. J. of Project Manage., vol. 26, issue 2, pp. 213-220, Feb. 2008. https://doi.org/10.1016/j.ijproman.2007.06.002
 M. G. Kaiser, F. Ahlemann, “Measuring Project Management Information Systems Success: Towards a Conceptual Model and Survey Instrument,” Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2010, pp. 259. Available: http://aisel.aisnet.org/ecis2010/20
 J. Dravnieks, Matemātiskās statistikas metodes sporta zinātnē, Riga, 2014, 65.-67. lpp.
 A. S. B. Ali, F. T. Anbari and W. H. Money, “Impact of Organizational and Project Factors on Acceptance and Usage of Project Management Software and Perceived Project Success,” Project Manage. J., vol. 39, issue 2, pp. 5-33, June 2008. https://doi.org/10.1002/pmj.20041
 É. Lefebvre and L. A. Lefebvre, “Global strategic benchmarking, critical capabilities and performance of aerospace subcontractors, Technovation,” vol. 18, issue 4, pp. 223-234, April 1998. https://doi.org/10.1016/S0166-4972(98)00013-3
 P. Fernandes, A. Sales, A. R. Santos and T. Webber, “Performance Evaluation of Software Development Teams: a Practical Case Study,” Electronic Notes in Theoretical Computer Science, vol. 275, pp. 73-92, Sept. 2011. https://doi.org/10.1016/j.entcs.2011.09.006