Metrics for the Evaluation of Team Productivity Factors in Agile Software Development: A Systematic Literature Mapping

dc.creatorGuerrero-Calvache, Marcela
dc.creatorHernández, Giovanni
dc.date2024-04-29
dc.date.accessioned2025-10-01T23:53:11Z
dc.descriptionThe productivity of agile teams represents a crucial aspect for software development companies, since it directly influences their performance and efficiency, fundamental aspects for the constant search for improvements. Different studies show that team productivity in agile software development (ASD) is an abstract concept, its meaning is still being studied, and is under construction. On the other hand, its measurement is oriented towards establishing different factors of various types that generate an impact within the team, the organization, and even the market. The objective of this study was to identify the metrics used to evaluate eleven factors classified in the categories of meaning, impact, and flexibility related to team productivity in the field of ASD. This analysis was performed using systematic literature mapping (SLM) directed according to Petersen's protocol. As a result, 37 primary investigations were identified in the IEEE Xplore DL and Scopus bibliographic databases. The findings of this research include the definition of the chosen factors, the determination of productivity metrics for each of them, and an attempt at mathematical formalization for some of these metrics. Furthermore, it was noted that 91.8 % of the studies refer to productivity factors associated with the category of meaning and impact, while there are few studies that detail factors related to the category of flexibility.en-US
dc.descriptionLa productividad de los equipos ágiles representa un aspecto crucial para las empresas de desarrollo de software, ya que influye directamente en su desempeño y eficiencia, aspectos fundamentales para la búsqueda constante de mejoras. Diferentes estudios demuestran que la productividad de equipo en el desarrollo ágil de software (ASD por sus siglas en inglés) es un concepto abstracto, su significado aún sigue siendo objeto de estudio y se encuentra en construcción. Por otra parte, su medición se orienta hacia el establecimiento de diferentes factores de diversos tipos que generan una incidencia dentro del equipo, la organización e inclusive el mercado. El objetivo de este estudio consistió en identificar las métricas utilizadas para evaluar once factores clasificados en las categorías de significado, impacto y flexibilidad vinculados a la productividad de equipos en el ámbito del ASD. Este análisis se realizó mediante un mapeo sistemático de la literatura (MSL) dirigido según el protocolo de Petersen. Como resultado, se identificaron 37 investigaciones primarias en las bases de datos bibliográficas de IEEE Xplore DL y Scopus. Entre los hallazgos de esta investigación se incluye la definición de los factores elegidos, la determinación de métricas de productividad para cada uno de ellos y un intento de formalización matemática para algunas de estas métricas. Además, se notó que el 91.8 % de los estudios hacen referencia a factores de productividad asociados a la categoría de significado e impacto, mientras que son escasos los estudios que detallan factores vinculados a la categoría de flexibilidad.es-ES
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dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2918
dc.identifier10.22430/22565337.2918
dc.identifier.urihttps://hdl.handle.net/20.500.12622/7892
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)es-ES
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2918/3205
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2918/3262
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2918/3263
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2918/3295
dc.relation/*ref*/Pragma. “Agilismo: clave para la transformación digital.” academiapragma.com. Accessed: Jan. 07, 2021. [Online]. Available: https://www.pragma.com.co/academia/conceptos/agilismo-clave-para-la-transformacion-digital
dc.relation/*ref*/H. C. Beh, Y. Y. Jusoh, R. Abdullah, and S. Hassan, “Dimensions in Measuring Performance of Agile Software Development Projects: A Literature Review,” in 2022 Applied Informatics International Conference (AiIC), Serdang, Malaysia, 2022, pp. 83-87. https://doi.org/10.1109/AiIC54368.2022.9914025
dc.relation/*ref*/L. M. Restrepo-Tamayo, G. P. Gasca-Hurtado, S. Galeano Ospino, and L. Machuca-Villegas, “Transferencia de conocimiento en equipos de desarrollo de software usando gamificación: un cuasiexperimento,” Ingeniare. Revista chilena de ingeniería, vol. 30. no. 4 pp. 705–718, Dec. 2022. http://dx.doi.org/10.4067/S0718-33052022000400705
dc.relation/*ref*/B. Binboga, and C. A. Gumussoy, “Factors Affecting Agile Software Project Success,” IEEE Access, Apr. 2024. https://doi.org/10.1109/ACCESS.2024.3384410
dc.relation/*ref*/B. Portelli, B. Behlendorf, and T. O’Reilly, “The 17th State of Agile Report,” Digital.ai, Raleigh, USA, Rep. 17th. Accessed: Nov. 02, 2020. [Online]. Available: https://stateofagile.com
dc.relation/*ref*/M. G. S. Ortega, G. B. Soto, R. R. P. Cinco, and L.-F. Rodríguez, “Framework to analyze the relationship between agile software engineers’ emotions and their productivity,” in 2021 10th International Conference on Software Process Improvement (CIMPS), Torreón, Coahuila, Mexico, 2021, pp. 66–69. https://ieeexplore.ieee.org/document/9652780
dc.relation/*ref*/M. Á. Maldonado Arango, “Factores que afectan la productividad en equipos Scrum analizados con pensamiento sistémico,” M.S. thesis, Universidad Nacional de Colombia, Medellín, Colombia, 2017. [Online]. Available: https://repositorio.unal.edu.co/handle/unal/59778
dc.relation/*ref*/C. de O. Melo, D. S. Cruzes, F. Kon, and R. Conradi, “Interpretative case studies on agile team productivity and management,” Inf. Softw. Technol., vol. 55, no. 2, pp. 412–427, Feb. 2013. https://doi.org/10.1016/j.infsof.2012.09.004
dc.relation/*ref*/A. Hernández-López, “Medidas de productividad en los proyectos de desarrollo de software: una aproximación por puestos de trabajo,” Ph.D. thesis, Universidad Carlos III de Madrid, España, 2014. https://dialnet.unirioja.es/servlet/tesis?codigo=8609
dc.relation/*ref*/C. Stylianou, and A. S. Andreou, “Investigating the Impact of Developer Productivity, Task Interdependence Type and Communication Overhead in a Multi-Objective Optimization Approach for Software Project Planning,” Adv. Eng. Softw., vol. 98, pp. 79–96, Aug. 2016. https://doi.org/10.1016/j.advengsoft.2016.04.001
dc.relation/*ref*/F. Tavakoli, and T. J. Gandomani, “A Novel Team Productivity Model for XP Teams,” J. Cases Inf. Technol., vol. 20, no. 4, pp. 93–109, 2018. https://doi.org/10.4018/JCIT.2018100106
dc.relation/*ref*/C. de O. Melo, and F. Kon, “Empirical Evaluation of Agile Practices Impact on Team Productivity BT - Agile Processes in Software Engineering and Extreme Programming,” in Lecture Notes in Business Information Processing, A. Sillitti, O. Hazzan, E. Bache, and X. Albaladejo, Eds., Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 322–323. https://doi.org/10.1007/978-3-642-20677-1_26
dc.relation/*ref*/V. A. Bollati, G. Gaona, P. B. Lima, and L. Cuenca Pletsch, “Software Development Teams: Factors Influencing their Productivity,” in 21st LACCEI International Multi-Conference for Engineering, Education, and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, Buenos Aires, Argentina, Jul. 2023, Paper 1561. https://doi.org/10.18687/laccei2023.1.1.1561
dc.relation/*ref*/M. Guerrero-Calvache, and G. Hernández, “Team productivity in agile software development: A systematic mapping study,” in Communications in Computer and Information Science, H. Florez, H. Gomez, Eds., Switzerland, Cham: Springer International Publishing, 2022, pp. 455–471. https://doi.org/10.1007/978-3-031-19647-8_32
dc.relation/*ref*/M. Guerrero-Calvache, and G. Hernández, “Team Productivity factors in Agile Software Development: An Exploratory Survey with Practitioners BT - Applied Informatics,” in Communications in Computer and Information Science, H. Florez, and M. Leon, Eds., Switzerland, Cham: Springer Nature Switzerland, 2024, pp. 261–276. https://doi.org/10.1007/978-3-031-46813-1_18
dc.relation/*ref*/M. Turić, S. Čelar, and S. Dragičević, “Productivity Factors in Agile Software Development Projects,” in Proceedings of the 34th DAAAM International Symposium, Vienna, Austria, 2023, pp. 0004–0008. https://doi.org/10.2507/34th.daaam.proceedings.001
dc.relation/*ref*/I. Fatema, and K. Sakib, “Using Qualitative System Dynamics in the Development of an Agile Teamwork Productivity Model,” International Journal on Advances in Software, vol. 11, no. 12, pp. 170–185, Jul. 2018. https://www.researchgate.net/publication/326412693_Using_Qualitative_System_Dynamics_in_the_Development_of_an_Agile_Teamwork_Productivity_Model
dc.relation/*ref*/E. D. Canedo, and G. A. Santos, “Factors Affecting Software Development Productivity: An empirical study,” in Proceedings of the XXXIII Brazilian Symposium on Software Engineering, New York, NY, USA: Association for Computing Machinery, 2019, pp. 307–316. https://doi.org/10.1145/3350768.3352491
dc.relation/*ref*/J. Iqbal, M. Omar, and A. Yasin, “Defining Teamwork Productivity Factors in Agile Software Development,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 12, no. 3, p. 1160, May. 2022. https://doi.org/10.18517/ijaseit.12.3.13648
dc.relation/*ref*/L. Machuca-Villegas, G. P. Gasca-Hurtado, S. M. Puente, L. Marcela, and R. Tamayo, “Factores sociales y humanos que influyen en la productividad del desarrollo de software: Medición de la percepción,” RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, no. E41, pp. 488-502, Dec. 2021. https://dialnet.unirioja.es/servlet/articulo?codigo=8610713
dc.relation/*ref*/L. Machuca-Villegas, and G. P. Gasca-Hurtado, “Towards a Social and Human Factor Classification Related to Productivity in Software Development Teams,” in Trends and Applications in Software Engineering Advances in Intelligent Systems and Computing, J. Mejia, M. Muñoz, Á. Rocha, and A. J. Calvo-Manzano, Eds., Switzerland, Cham: Springer International Publishing, 2020, pp. 36–50. https://doi.org/10.1007/978-3-030-33547-2_4
dc.relation/*ref*/L. Machuca-Villegas, G. P. Gasca-Hurtado, L. M. Restrepo Tamayo, and S. Morillo Puente, “Social and Human Factor Classification of Influence in Productivity in Software Development Teams,” in Communications in Computer and Information Science, M. Yilmaz, J. Niemann, P. Clarke, R. Messnarz, Eds., Switzerland, Cham: Springer International Publishing, 2020, pp. 717–729. https://doi.org/10.1007/978-3-030-56441-4_54
dc.relation/*ref*/F. Fagerholm, M. Ikonen, P. Kettunen, J. Münch, V. Roto, and P. Abrahamsson, “How Do Software Developers Experience Team Performance in Lean and Agile Environments?,” in Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, New York, NY, USA: Association for Computing Machinery, 2014, pp. 1-10. https://doi.org/10.1145/2601248.2601285
dc.relation/*ref*/L. Machuca-Villegas, G. P. Gasca-Hurtado, S. Morillo Puente, and L. M. Restrepo Tamayo, “An Instrument for Measuring Perception about Social and Human Factors that Influence Software Development Productivity,” JUCS - Journal of Universal Computer Science, vol. 27, no. 2, pp. 111–134, Feb. 2021. https://doi.org/10.3897/jucs.65102
dc.relation/*ref*/K. Petersen, S. Vakkalanka, and L. Kuzniarz “Guidelines for conducting systematic mapping studies in software engineering,” Information and Software Technology, vol. 64, pp. 1–18, Aug. 2015. https://doi.org/10.1016/j.infsof.2015.03.007
dc.relation/*ref*/H. Klein, and S. Canditt, “Using Opinion Polls to Help Measure Business Impact in Agile Development,” in Proceedings of the 1st International Workshop on Business Impact of Process Improvements (BiPi '08), New York, NY, USA: Association for Computing Machinery, 2008, pp. 25–32. https://doi.org/10.1145/1370837.1370843
dc.relation/*ref*/E.-M. Ahmed, and A. Sidky, “25 percent Ahead of Schedule and just at “Step 2” of the SAMI,” in 2009 Agile Conference, Chicago, IL, USA, 2009, pp. 162-169. https://doi.org/10.1109/AGILE.2009.63
dc.relation/*ref*/C. Ertaban, E. Sarikaya, and S. Bagriyanik, “Agile Performance Indicators for Team Performance Evaluation in a Corporate Environment,” in Proceedings of the 19th International Conference on Agile Software Development: Companion, New York, NY, USA: Association for Computing Machinery, 2018, pp. 1-3. https://doi.org/10.1145/3234152.3234156
dc.relation/*ref*/A. O. Gadelsied, T. M. M. Elhassan, W. M. Mohamed, and H. M. Abushama, “Assessment method for Scrum culture within the Development team,” in 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), Khartoum, Sudan, 2021, pp. 1-6. https://doi.org/10.1109/ICCCEEE49695.2021.9429608
dc.relation/*ref*/N. Abbas, A. M. Gravell, and G. B. Wills, “The Impact of Organization, Project and Governance Variables on Software Quality and Project Success,” in 2010 Agile Conference, Nashville, TN, USA, 2010, pp. 77-86. https://doi.org/10.1109/AGILE.2010.16
dc.relation/*ref*/L. Brezocnik, and C. Majer, “Product Evaluation Through Contractor and In-House Metrics,” in Proceedings of the SQAMIA 2016: 5th Workshop of Software Quality, Analysis, Monitoring, Improvement, and Applications, Budapest, Hungary, Aug. 2016. https://ceur-ws.org/Vol-1677/paper02.pdf
dc.relation/*ref*/Y. Dubinsky, and O. Hazzan, “The role of a project-based capstone course,” in Proceedings. 27th International Conference on Software Engineering, St. Louis, MO, USA, 2005, pp. 645-646. https://doi.org/10.1109/ICSE.2005.1553628
dc.relation/*ref*/I. Signoretti, S. Marczak, L. Salerno, A. d. Lara, and R. Bastos, "Boosting Agile by Using User-Centered Design and Lean Startup: A Case Study of the Adoption of the Combined Approach in Software Development,” in 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Porto de Galinhas, Brazil, 2019, pp. 1-6. https://doi.org/10.1109/ESEM.2019.8870154
dc.relation/*ref*/B. Martens, and J. Franke, “Identifying Agile Roles in Software Engineering Projects using Repository and Work-Tracking Data,” in 2022 International Conference on Data and Software Engineering (ICoDSE), Denpasar, Indonesia, 2022, pp. 83-88. https://doi.org/10.1109/ICoDSE56892.2022.9971901
dc.relation/*ref*/D. Wahyudin, M. Heindl, B. Eckhard, A. Schatten, and S. Biffl, “In-Time Role-Specific Notification as Formal Means to Balance Agile Practices in Global Software Development Settings,” in Balancing Agility and Formalism in Software Engineering, B. Meyer, J. R. Nawrocki, and B. Walter, Eds., Berlin, Heidelberg: Springer Berlin Heidelberg, 2008, pp. 208-222. https://doi.org/10.1007/978-3-540-85279-7_17
dc.relation/*ref*/S. D. Vishnubhotla, E. Mendes, and L. Lundberg, “Designing a Capability-Centric Web Tool to Support Agile Team Composition and Task Allocation: A Work in Progress,” in 2018 IEEE/ACM 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), Gothenburg, Sweden, 2018, pp. 41-44. https://ieeexplore.ieee.org/document/8445534
dc.relation/*ref*/A. Agarwal, N. K. Garg, and A. Jain, “Quality assurance for Product development using Agile,” in 2014 International Conference on Reliability Optimization and Information Technology (ICROIT), Faridabad, India, 2014, pp. 44-47. https://doi.org/10.1109/ICROIT.2014.6798281
dc.relation/*ref*/S. Čelar, M. Turić, and L. Vicković, “Method for personal capability assessment in agile teams using personal points,” in 2014 22nd Telecommunications Forum Telfor (TELFOR), Belgrade, Serbia, 2014, pp. 1134-1137. https://doi.org/10.1109/TELFOR.2014.7034607
dc.relation/*ref*/E. Mendes, D. Viana, S. D. Vishnubhotla, and L. Lundberg, “Realising Individual and Team Capability in Agile Software Development: A Qualitative Investigation,” in 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Prague, Czech Republic, 2018, pp. 183–190. https://doi.org/10.1109/SEAA.2018.00037
dc.relation/*ref*/S. Downey, and J. Sutherland, “Scrum Metrics for Hyperproductive Teams: How They Fly like Fighter Aircraft,” in 2013 46th Hawaii International Conference on System Sciences, Wailea, HI, USA, 2013, pp. 4870-4878. https://doi.org/10.1109/HICSS.2013.471
dc.relation/*ref*/E. Scott, K. N. Charkie, and D. Pfahl, “Productivity, Turnover, and Team Stability of Agile Teams in Open-Source Software Projects,” in 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Portoroz, Slovenia, 2020, pp. 124-131. https://doi.org/10.1109/SEAA51224.2020.00029
dc.relation/*ref*/K. M. Bumbary, “Using Velocity, Acceleration, and Jerk to Manage Agile Schedule Risk,” 2016 International Conference on Information Systems Engineering (ICISE), Los Angeles, CA, USA, 2016, pp. 73-80. https://doi.org/10.1109/ICISE.2016.21
dc.relation/*ref*/F. Almeida, and P. Carneiro, “Performance metrics in scrum software engineering companies,” International Journal of Agile Systems and Management, vol. 14, no. 2, pp. 205-2023, Sep. 2021. https://doi.org/10.1504/IJASM.2021.10041601
dc.relation/*ref*/S. Vazifeh-Noshafagh, V. Hajipour, S. Jalali, D. Di Caprio, and F. J. Santos-Arteaga, “Maturing the Scrum Framework for Software Projects Portfolio Management: A Case Study-Oriented Methodology,” IEEE Access, vol. 10, pp. 123283–123300, Nov. 2022. https://doi.org/10.1109/ACCESS.2022.3224447
dc.relation/*ref*/S. L. Ramírez-Mora, and H. Oktaba, “Team Maturity in Agile Software Development: The Impact on Productivity,” in 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME), Madrid, Spain, 2018, pp. 732-736. https://doi.org/10.1109/ICSME.2018.00091
dc.relation/*ref*/L. Fitzpatrick, “The Role of Emotional Intelligence in Agile Project Management,” in 2022 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, 2022, pp. 1-9. https://doi.org/10.23919/PICMET53225.2022.9882795
dc.relation/*ref*/A. Alhubaishy, and L. Benedicenti, “Affect and Affective Trust in Agile Requirements Engineering,” in 2018 1st International Workshop on Affective Computing for Requirements Engineering (AffectRE), Banff, AB, Canada, 2018, pp. 9-12. https://doi.org/10.1109/AffectRE.2018.00007
dc.relation/*ref*/A. Mashmool, S. Khosravi, J. H. Joloudari, I. Inayat, T. J. Gandomani, and A. Mosavi, “A Statistical Model to Assess the Team’s Productivity in Agile Software Teams,” in 2021 IEEE 4th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), Budapest, Hungary, 2021, pp. 11-18. https://doi.org/10.1109/CANDO-EPE54223.2021.9667902
dc.relation/*ref*/W. Alsaqaf, M. Daneva, and R. Wieringa, “Agile Quality Requirements Engineering Challenges: First Results from a Case Study” in 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Toronto, ON, Canada, 2017, pp. 454-459. https://doi.org/10.1109/ESEM.2017.61
dc.relation/*ref*/W. M. Farid, and F. J. Mitropoulos, “NORMATIC: A visual tool for modeling Non-Functional Requirements in agile processes,” in 2012 Proceedings of IEEE Southeastcon, Orlando, FL, USA, 2012, pp. 1-8. https://doi.org/10.1109/SECon.2012.6196989
dc.relation/*ref*/B. Kumar, U. K. Tiwari, D. C. Dobhal, and H. S. Negi, “User Story Clustering using K-Means Algorithm in Agile Requirement Engineering,” in 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2022, pp. 1-5. https://doi.org/10.1109/CISES54857.2022.9844390
dc.relation/*ref*/M. Oriol et al., “Data-driven and tool-supported elicitation of quality requirements in agile companies,” Software Quality Journal, vol. 28, no. 3, pp. 931–963, Sep. 2020. https://doi.org/10.1007/s11219-020-09509-y
dc.relation/*ref*/I. Wentzlaff, “Establishing a Requirements Baseline by Functional Size Measurement Patterns,” in CEUR Joint Proceedings of the REFSQ 2017 Co-Located Events: 1st International Workshop on Requirements Prioritization and Enactment, vol. 1796, Feb. 2017. https://ceur-ws.org/Vol-1796/priore-paper-1.pdf
dc.relation/*ref*/M. Silva et al., “A Comparative Analysis of Agile Teamwork Quality Models,” in 2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Hvar, Croatia, 2021, pp. 1-6. https://doi.org/10.23919/SoftCOM52868.2021.9559062
dc.relation/*ref*/A. Poth, M. Kottke, and A. Riel, “Evaluation of Agile Teamwork Quality,” in Agile Processes in Software Engineering and Extreme Programming -- Workshops, M. Paasivaara and P. Kruchten, Eds., Switzerland, Cham: Springer International Publishing, 2020, pp. 101–110. https://doi.org/10.1007/978-3-030-58858-8_11
dc.relation/*ref*/A. Poth, M. Kottke, and A. Riel, “Agile Teamwork Quality in the Context of Agile Transformations - A Case Study in Large-Scaling Environments,” in Systems, Software and Services Process Improvement, M. Yilmaz, J. Niemann, P. Clarke, and R. Messnarz, Eds., Switzerland, Cham: Springer International Publishing, 2020, pp. 232–243. https://doi.org/10.1007/978-3-030-56441-4_17
dc.relation/*ref*/A. Freire, M. Perkusich, R. Saraiva, H. Almeida, and A. Perkusich, “A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams,” Inf Softw Technol., vol. 100, pp. 119–132, Aug. 2018. https://doi.org/10.1016/j.infsof.2018.04.004
dc.relation/*ref*/M. Silva, A. Freire, M. Perkusich, K. Gorgônio, H. Almeida, and A. Perkusich, “On the Influence of Different Perspectives on Evaluating the Teamwork Quality in the Context of Agile Software Development,” in Proceedings of the XXXIV Brazilian Symposium on Software Engineering, New York, NY, USA: Association for Computing Machinery, 2020, pp. 1-10. https://doi.org/10.1145/3422392.3422397
dc.relation/*ref*/S. Coyle, and J. Barata, “Socially-constructed metrics for Agile Quality: An Action Research Study,” in Australasian Conference on Information Systems, Wollongong, Australia, 2016. https://aisel.aisnet.org/acis2016/70
dc.relation/*ref*/C. Matthies, “Agile Process Improvement in Retrospectives,” in 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), Montreal, QC, Canada, 2019, pp. 150-152. https://doi.org/10.1109/ICSE-Companion.2019.00063
dc.relation/*ref*/F. Kortum, J. Klünder, O. Karras, W. Brunotte, and K. Schneider, “Which Information Help agile Teams the Most? An Experience Report on the Problems and Needs,” in 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Portoroz, Slovenia, 2020, pp. 306-313. https://doi.org/10.1109/SEAA51224.2020.00058
dc.relation/*ref*/L. Gren, “Learning More from Crossing Levels: Investigating Agility at Three Levels of the Organization,” in 2017 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2017, pp. 1035-1038. https://doi.org/10.1109/CSCI.2017.179
dc.relation/*ref*/E. A. Arteaga Castillo, “Factores y estrategias basadas en software libre que propician el aprendizaje organizacional en el área de tecnología de la Universidad de Nariño,” M.S. tesis, Universidad Autónoma de Bucaramanga, 2018. [Online]. Available: https://repository.unab.edu.co/handle/20.500.12749/3428
dc.relation/*ref*/
dc.rightsDerechos de autor 2024 TecnoLógicases-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceTecnoLógicas; Vol. 27 No. 59 (2024); e2918en-US
dc.sourceTecnoLógicas; Vol. 27 Núm. 59 (2024); e2918es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectDesarrollo ágil de softwarees-ES
dc.subjectmedición de productividades-ES
dc.subjectmétricas de desempeñoes-ES
dc.subjectproductividad de equipoes-ES
dc.subjecttrabajo en equipoes-ES
dc.subjectAgile software developmenten-US
dc.subjectproductivity measurementen-US
dc.subjectperformance metricsen-US
dc.subjectteam productivityen-US
dc.subjectteamworken-US
dc.titleMetrics for the Evaluation of Team Productivity Factors in Agile Software Development: A Systematic Literature Mappingen-US
dc.titleMétricas para la evaluación de factores de productividad de equipo en desarrollo ágil de software: un mapeo sistemático de literaturaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeReview Articleen-US
dc.typeArtículos de revisiónes-ES

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