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dc.contributor.authorRestrepo-Tamayo L.M
dc.contributor.authorGasca-Hurtado G.P
dc.contributor.authorMuñoz M.
dc.date.accessioned2023-10-24T19:24:49Z
dc.date.available2023-10-24T19:24:49Z
dc.date.created2022
dc.identifier.isbn9783031155581
dc.identifier.issn18650929
dc.identifier.urihttp://hdl.handle.net/11407/8004
dc.description.abstractSoftware development teams are built to achieve the highest level of performance and ensure the fulfillment of the project's objectives. Social and human factors are consolidated as fundamental aspects to ensure this purpose. In addition, personality is another determining aspect to build a team due to the role played by the interaction between the members of the work team and its influence on the conformation of the software development team. Therefore, the objective of this study is to identify the procedures and recommendations that allow building software development teams based on the personality of their members. To achieve this objective, a systematic literature review was carried out with 26 primary studies, from which 14 procedures were identified to build work teams in Software Engineering, where personality is measured using psychometric tests. The results of the empirical studies allowed consolidating recommendations for assigning roles according to personality traits. The most relevant result indicates that the management of software development teams can be improved by including social and human factors within their measurement and decision-making processes. © 2022, Springer Nature Switzerland AG.eng
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85137984774&doi=10.1007%2f978-3-031-15559-8_48&partnerID=40&md5=e7a146c828c4c41ec4b4296e72d75699
dc.sourceCommun. Comput. Info. Sci.
dc.sourceCommunications in Computer and Information Scienceeng
dc.subjectBuilding teamseng
dc.subjectPersonalityeng
dc.subjectSoftware engineeringeng
dc.subjectSystematic literature revieweng
dc.titleBuilding Effective Software Development Teams Based on the Personality of Its Memberseng
dc.typeConference Paper
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.type.spaDocumento de conferencia
dc.identifier.doi10.1007/978-3-031-15559-8_48
dc.relation.citationvolume1646 CCIS
dc.relation.citationstartpage688
dc.relation.citationendpage703
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationRestrepo-Tamayo, L.M., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, 50026, Colombia
dc.affiliationGasca-Hurtado, G.P., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, 50026, Colombia
dc.affiliationMuñoz, M., Centro de Investigación en Matemáticas (CIMAT), Avenida Lasec Andador Galileo Galilei, Manzana 3 Lote 7, Zacatecas, 98160, Mexico
dc.relation.referencesMuñoz, M., Pérez Negrón, A.P., Hernández, L., Gamification in virtual reality environments for the integration of highly effective teams (2020) Virtual Reality Designs, 1St Edn. CRC Press
dc.relation.referencesDorling, A., McCaffery, F., The gamification of SPICE (2012) SPICE 2012. CCIS, Vol. 290, pp. 295-301. , https://doi.org/10.1007/978-3-642-30439-2_35, Mas, A., Mesquida, A., Rout, T., O’Connor, R.V., Dorling, A. (eds.) , Springer, Heidelberg
dc.relation.referencesMuñoz, M., Peña, A., Mejia, J., Rangel, N., Torres, C., Hernández, L.: Building high effectives teams using a virtual environment. In: Larrucea, X., Santamaria, I., O’Connor, R.V., Messnarz, R. (eds.) EuroSPI. CCIS, vol. 896, pp. 554–564. Springer, Cham (2018). https://doi.org/10. 1007/978-3-319-97925-0_47
dc.relation.referencesRibeiro, A., Amaral, A., Barros, T., Project manager competencies in the context of the Industry 4.0 (2021) Procedia Comput. Sci., 181, pp. 803-810. , https://doi.org/10.1016/j.procs. 2021.01.233
dc.relation.referencesRuiz, M., Salanitri, D., Understanding how and when human factors are used in the software process: A text-mining based literature review (2019) PROFES 2019. LNCS, Vol. 11915, pp. 694-708. , https://doi.org/10.1007/978-3-030-35333-9_54, Franch, X., Männistö, T., Martínez-Fernández, S. (eds.) , Springer, Cham
dc.relation.referencesSoomro, A.B., Salleh, N., Mendes, E., The effect of software engineers’ personality traits on team climate and performance: a systematic literature review (2016) Inf. Softw. Technol., 73, pp. 52-65. , https://doi.org/10.1016/j.infsof.2016.01.006
dc.relation.referencesFreitas, F., Mendes, E., Salleh, N., The relationship between personality and decision-making: A systematic literature review (2019) Inf. Softw. Technol., 111, pp. 50-71. , https://doi.org/10.1016/j.infsof.2019.03.010
dc.relation.referencesWiesche, M., Krcmar, H., The relationship of personality models and development tasks in software engineering (2014) SIGMIS-CPR Conference on Computers and People Research, pp. 149-161
dc.relation.referencesKitchenham, B., Charters, S., (2007) Guidelines for Performing Systematic Literature Reviews in Software Engineering Version, 2, p. 3
dc.relation.referencesBrereton, P., Kitchenham, B.A., Budgen, D., Lessons from applying the systematic literature review process within the software engineering domain (2007) J. Syst. Softw., 80, pp. 571-583. , https://doi.org/10.1016/j.jss.2006.07.009
dc.relation.referencesCruz, S., Fabio, Q.B., Fernando, L., Forty years of research on personality in software engineering: A mapping study (2015) Comput. Hum. Behav., 46, pp. 94-113. , https://doi.org/10.1016/j.chb.2014.12.008
dc.relation.referencesSodiya, A.S., Onashoga, S.A., Longe, H.O.D., An improved assessment of personality traits in software engineering (2007) Interdisc. J. Inf. Knowl. Manag., 2. , https://doi.org/10. 28945/3164
dc.relation.referencesMartinez, L., Guillermo, L., Rodríguez-Díaz, A., Castro, J., Experiences in software engineering courses using psychometrics with RAMSET (2010) Iticse Innovation and Technology in Computer Science Education, pp. 244-248
dc.relation.referencesDafoulas, G.A., Macaulay, L.A., Facilitating group formation and role allocation in software engineering groups (2001) Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, pp. 352-359
dc.relation.referencesAvila, D.T., van Petegem, W., Snoeck, M., Improving teamwork in agile software engineering education: The ASEST+ framework (2022) IEEE Trans. Educ., 65, pp. 18-29. , https://doi.org/10. 1109/TE.2021.3084095
dc.relation.referencesArdini, A., Hosseini, M., Alrobai, A., Social computing for software engineering: A mapping study (2014) Comput. Sci. Rev., 13-14, pp. 75-93. , https://doi.org/10.1016/j.cosrev. 2014.08.002
dc.relation.referencesKitchenham, B.A., Pfleeger, S.L., Pickard, L.M., Preliminary guidelines for empirical research in software engineering (2002) IEEE Trans. Softw. Eng., 28, pp. 721-734
dc.relation.referencesNoori, F., Kazemifard, M., Simulation of pair programming using multi-agent and MBTI personality model (2016) 6Th International Conference of Cognitive Science, ICCS 2015, Pp. 29– 36. IEEE
dc.relation.referencesMuñoz, M., A model to integrate highly effective teams for software development (2017) Eurospi. CCIS, Vol. 748, Pp. 613–, p. 626. , https://doi.org/10.1007/978-3-319-64218-5_51, Stolfa, J., Stolfa, S., O’Connor, R.V., Messnarz, R. (eds.) , Springer, Cham
dc.relation.referencesGilal, A.R., Jaafar, J., Omar, M., A rule-based model for software development team composition: Team leader role with personality types and gender classification (2016) Inf. Softw. Technol., 74, pp. 105-113. , https://doi.org/10.1016/j.infsof.2016.02.007
dc.relation.referencesAndré, M., Baldoquín, M.G., Acuña, S.T., Formal model for assigning human resources to teams in software projects (2011) Inf. Softw. Technol., 53, pp. 259-275. , https://doi.org/10.1016/j.infsof.2010.11.011
dc.relation.referencesLicorish, S., Philpott, A., Macdonell, S.G., Supporting agile team composition: A prototype tool for identifying personality (in)compatibilities (2009) Proceedings of the 2009 ICSE Workshop on Cooperative and Human Aspects on Software Engineering, CHASE 2009, Pp. 66–73. IEEE
dc.relation.referencesHenry, T.R., Creating effective student groups: An introduction to groupformation.org (2013) SIGCSE 2013-Proceedings of the 44Th ACM Technical Symposium on Computer Science Education, pp. 645-650
dc.relation.referencesXiao, Z., Zhou, M.X., Fu, W.-T., Who should be my teammates: Using a conversational agent to understand individuals and help teaming (2019) IUI 2019: Proceedings of the 24Th International Conference on Intelligent User Interfaces, pp. 437-447
dc.relation.referencesAqeel Iqbal, M., Ammar, F.A., Aldaihani, A.R., Building most effective requirements engineering teams by evaluating their personality traits using big-five assessment model (2019) ICETAS 2019-2019 6Th IEEE International Conference on Engineering, Technologies and Applied Sciences, Pp. 1–5
dc.relation.referencesYilmaz, M., Connor, R.V.O., Colomopalacios, R., Clarke, P., An examination of personality traits and how they impact on software development teams (2017) Inf. Softw. Technol., 86, pp. 101-122. , https://doi.org/10.1016/j.infsof.2017.01.005
dc.relation.referencesLatorre, R., Suárez, J., Measuring social networks when forming information system project teams (2017) J. Syst. Softw., 134, pp. 304-323. , https://doi.org/10.1016/j.jss.2017.09.019
dc.relation.referencesOmar, M., Syed-Abdullah, S.L., Identifying effective software engineering (SE) team personality types composition using rough set approach (2010) Proceedings 2010 International Symposium on Information Technology-System Development and Application and Knowledge Society, Itsim 2010, Pp. 1499–1503. IEEE
dc.relation.referencesGilal, A.R., Jaafa, J., Omar, M., Tunio, M.Z., Impact of personality and gender diversity on software development teams’ performance (2014) I4CT 2014-1St International Conference on Computer, Communications, and Control Technology, Proceedings, pp. 261-265
dc.relation.referencesGilal, A.R., Jaafar, J., Basri, S., Impact of software team composition methodology on the personality preferences of Malaysian students (2016) 2016 3Rd International Conference on Computer and Information Sciences, ICCOINS 2016 – Proceedings, Pp 454–458. IEEE
dc.relation.referencesGilal, A.R., Jaafar, J., Basri, S., Making programmer suitable for team-leader: Software team composition based on personality types (2016) 2015 International Symposium on Mathematical Sciences and Computing Research, Ismsc 2015-Proceedings, Pp. 78–82. IEEE
dc.relation.referencesNaqvi, I., Ur Rehman, K., Butt, B.Z., Precautions in team leader’s selection: Impact on business success (2009) 2009 International Conference on Education Technology and Computer, ICETC 2009, Pp. 269–274. IEEE
dc.relation.referencesChoi, K.S., Deek, F.P., Im, I., Exploring the underlying aspects of pair programming: The impact of personality (2008) Inf. Softw. Technol., 50, pp. 1114-1126. , https://doi.org/10.1016/j. infsof.2007.11.002
dc.relation.referencesRutherfoord, R.H., Using personality inventories to form teams for class projects-a case study (2006) Proceedings of the 7Th ACM Sig-Information Technology Education Conference, SIGITE 2006, Pp. 9–13
dc.relation.referencesWang, Y., Building the linkage between project managers’ personality and success of software projects (2009) 2009 3Rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009, Pp. 410–413. IEEE
dc.relation.referencesXia, X., Lo, D., Bao, L., Personality and project success: Insights from a large-scale study with professionals (2017) Proceedings-2017 IEEE International Conference on Software Maintenance and Evolution, ICSME 2017, Pp. 318–328
dc.relation.referencesCalefato, F., Iaffaldano, G., Lanubile, F., Vasilescu, B., On developers’ personality in large-scale distributed projects: The case of the apache ecosystem (2018) Proceedings-International Conference on Software Engineering, pp. 92-101. , ACM
dc.relation.referencesCalefato, F., Lanubile, F., Vasilescu, B., A large-scale, in-depth analysis of developers’ personalities in the Apache ecosystem (2019) Inf. Softw. Technol., 114, pp. 1-20. , https://doi.org/10. 1016/j.infsof.2019.05.012
dc.relation.referencesLicorish, S.A., Macdonell, S.G., Communication and personality profiles of global software developers (2015) Inf. Softw. Technol., 64, pp. 113-131. , https://doi.org/10.1016/j.infsof.2015. 02.004
dc.relation.referencesVarona, D., Capretz, L.F., Using the DELPHI Method for model for role assignment in the software industry (2021) IECON 2021 – 47Th Annual Conference of the IEEE Industrial Electronics Society, Pp. 1–7. IEEE
dc.relation.referencesRicco, G.D., Ohland, M.W., Loughry, M.L., Layton, R.A., Design and validation of a web-based system for assigning members to teams using instructor-specified criteria (2010) Adv. Eng. Educ., 2, pp. 1-28
dc.relation.referencesAndrejczuk, E., Bistaffa, F., Blum, C., Synergistic team composition: A computational approach to foster diversity in teams (2019) Knowl.-Based Syst., 182. , https://doi.org/10.1016/j.knosys.2019.06.007
dc.relation.referencesHarzer, C., Bezuglova, N., Weber, M., Incremental validity of character strengths as predictors of job performance beyond general mental ability and the big five (2021) Front Psychol, 12 (1-18). , https://doi.org/10.3389/fpsyg.2021.518369
dc.relation.referencesMonzani, L., Seijts, G.H., Crossan, M.M., Character matters: The network structure of leader character and its relation to follower positive outcomes (2021) Plos ONE, 16 (1-25). , https://doi.org/10.1371/journal.pone.0255940
dc.relation.referencesSilva, F.Q.B., França, A.C.C., Suassuna, M., Team building criteria in software projects: A mix-method replicated study (2013) Inf. Softw. Technol., 55, pp. 1316-1340. , https://doi.org/10.1016/j.infsof.2012.11.006
dc.relation.referencesFurnham, A., Myers-Briggs Type Indicator (2020) Encycl. Personal. Individ. Differ., pp. 3059-3062
dc.relation.referencesBriggs Myers, I., McCaulley, M., Quenk, N., Hammer, A., (1998) MBTI Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator, , 3rd edn. California
dc.relation.referencesQuenk, N., (2009) Essentials of Myers-Briggs Type Indicator Assessment, , 2nd edn. Wiley, New Jersey
dc.relation.referencesMcCrae, R.R., John, O.P., The five-factor model: Issues and applications (1992) J. Pers., 60, pp. 175-215
dc.relation.referencesJohnson, J., Bif-Five Model (2020) Encycl. Personal. Individ. Differ., pp. 474-490
dc.relation.referencesReynolds, C.R., Altmann, R.A., Allen, D.N., (2021) Mastering Modern Psychological Testing
dc.relation.referencesOwen, J., Mahatmya, D., Carter, R., Dominance, Influence, Steadiness, and Conscientiousness (DISC) Assessment Tool. Encycl. Personal. Individ (2020) Differ, pp. 1186-1189
dc.relation.referencesBahner, C., Clark, B., Sixteen personality factor questionnaire (16PF) (2020) Encycl. Personal. Individ. Differ., pp. 4958-4961
dc.relation.referencesHernández López, J.M., Santacreumas, J., Rubio Franco, V.J., Evaluación de la personalidad: Una alternativa teórico-metodológica (1999) Escritos. Psicol., (3), pp. 20-28
dc.relation.referencesArthur, W., Woehr, D.J., Graziano, W.G., Personality testing in employment settings (2001) Pers. Rev., 30, pp. 657-676. , https://doi.org/10.1108/eum0000000005978
dc.relation.referencesMcDonald, J.D., Measuring personality constructs: The advantages and disadvantages of self-reports (2008) Informant Reports and Behavioral Assessments. Enquire, 1, pp. 75-94. , https://doi. org/10.1126/science.237.4815.599
dc.relation.referencesIhsan, Z., Furnham, A., The new technologies in personality assessment: A review (2018) Consult. Psychol. J., 70, pp. 147-166. , https://doi.org/10.1037/cpb0000106
dc.relation.referencesRibesiñesta, E., Sánchezsosa, S., Individual behavior consistencies as interactive styles: Their relation to personality (1992) Psychol. Rec., 42, pp. 369-388. , https://doi.org/10.1007/bf03399608
dc.relation.referencesRibes, E., Contreras, S., Martínez, C., Individual consistencies across time and tasks: A replication of interactive styles (2005) Psychol. Rec., 55, pp. 619-631. , https://doi.org/10.1007/BF03395530
dc.relation.referencesDooley, K., Anderson, J., Liu, X., Process quality knowledge bases (1999) J. Qual. Manag., 4, pp. 207-224
dc.relation.referencesGonzález Llaneza, F.M., (2007) Instrumentos De evaluación psicológica, , La Habana
dc.relation.referencesLaporte, C., April, A., (2018) Software Quality Assurance
dc.relation.referencesGjurković, M., Vukojević, I., Šnajder, J., SIMPA: Statement-to-item matching personality assessment from text (2021) Futur. Gener. Comput. Syst., 130, pp. 114-127. , https://doi.org/10. 1016/j.future.2021.12.014
dc.relation.referencesManifesto: Software Process Improvement (SPI). https://conference.eurospi.net/images/eur ospi/spi_manifesto.pdf. Accessed 1 Jun 2022
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín
dc.contributor.event29th European Systems, Software and Services Process Improvement, EuroSPI 2022


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