Non-technical Factors in Software engineering Within the Context of Industry 4.0

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dc.contributor.affiliationRestrepo-Tamayo, L.M., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, 50026, Colombia
dc.contributor.affiliationGasca-Hurtado, G.P., Universidad de Medellín, Carrera 87 No. 30-65, Medellín, 50026, Colombia
dc.contributor.authorRestrepo-Tamayo L.M
dc.contributor.authorGasca-Hurtado G.P.
dc.date.accessioned2024-07-31T21:07:02Z
dc.date.available2024-07-31T21:07:02Z
dc.date.issued2024
dc.descriptionSoftware development is a process influenced by aspects related to teamwork and by requiring high levels of interaction among its members. Both aspects are considered non-technical factors and have been arousing interest both for the software industry and for research. In the framework of Industry 4.0, it is also evident the need to identify the relevant non-technical factors in a discipline such as Software engineering, given the need to develop software to meet the required digital capabilities. This paper presents an analysis to know the evolving nuances of the proposed research topic and to define emerging issues of interest for this research field, based on a systematic mapping of literature. Twenty-three non-technical factors are identified, among which communication, leadership, teamwork, and innovation stand out. The findings of this analysis contribute to the improvement of the software development process and drive the processes required by Industry 4.0. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-50590-4_6
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn1860949X
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8454
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbHspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería de Sistemasspa
dc.relation.citationendpage103
dc.relation.citationstartpage89
dc.relation.citationvolume1135
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186441227&doi=10.1007%2f978-3-031-50590-4_6&partnerID=40&md5=93e2264be4e7679e616e559d6fef76f7
dc.relation.referencesXu, L.D., Xu, E.L., Li, L., Industry 4.0: State of the art and future trends (2018) International Journal of Production Research, 56, pp. 2941-2962. , https://doi.org/10.1080/00207543.2018.144 4806
dc.relation.referencesSchneider, P., Managerial challenges of Industry 4.0: An empirically backed research agenda for a nascent field (2018) Review of Managerial Science, 12, pp. 803-848. , https://doi.org/10.1007/s11846-018-0283-2
dc.relation.referencesKornyshova, E., Barrios, J., Industry 4.0 impact propagation on enterprise architecture models (2020) Procedia Computer Science. 24Th International Conference on Knowledge-Based and Intelligent Information & engineering Systems, pp. 2497-2506. , Elsevier B.V
dc.relation.referencesNakagawa, E.Y., Antonino, P.O., Schnicke, F., Kuhn, T., Liggesmeyer, P., Continuous systems and software engineering for industry 4.0: A disruptive view (2021) Information and Software Technology, 135. , https://doi.org/10.1016/j.infsof.2021.106562
dc.relation.referencesManifesto: Software Process Improvement (SPI). https://conference.eurospi.net/images/eur ospi/spi_manifesto.pdf
dc.relation.referencesKirilo, C.Z., Abe, J.M., de Lima, L.A., Lozano, L.C.M., Nogueira, M., de Oliveira, C.C., Nakamatsu, K., Organizational climate assessment using the paraconsistent decision method (2018) Procedia Computer Science, 131, pp. 608-618. , https://doi.org/10.1016/j.procs. 2018.04.303
dc.relation.referencesDooley, J.F., Software development (2017) Design and Coding
dc.relation.referencesKrasner, H., (2021) The Cost of Poor Software Quality in the US: A 2020 Report
dc.relation.referencesRichter, K., Dumke, R.R., Group, F., (2015) Modeling. in Evaluating and Predicting IT Human Resources Performance
dc.relation.referencesWagner, S., Ruhe, M., (2018). A systematic review of productivity factors in software development (2008) 2Nd International Workshop on Software Productivity Analysis and Cost Estimation (SPACE
dc.relation.referencesTrendowicz, A., Münch, J., Chapter 6 factors influencing software development productivity-state-of-the-art and industrial experiences (2009) Advances in Computers, pp. 185-241
dc.relation.referencesSadowski, C., Zimmermann, T., (2019) Rethinking Productivity in Software engineering, , Springer
dc.relation.referencesCanedo, E.D., Santos, G.A., Factors affecting software development productivity: An empirical study (2019) ACM International Conference Proceeding Series, pp. 307-316. , Association for Computing Machinery
dc.relation.referencesCapretz, L.F., Ahmed, F., da Silva, F.Q.B., Soft sides of software (2017) Information and Software Technology, 92, pp. 92-94. , https://doi.org/10.1016/j.infsof.2017.07.011
dc.relation.referencesSedelmaier, Y., Landes, D., Software engineering body of skills (SWEBOS) (2014) IEEE Global engineering Education Conference EDUCON, pp. 395-401. , https://doi.org/10. 1109/EDUCON.2014.6826125
dc.relation.referencesLacher, L., Walia, G., Nygard, K., Fagerholm, F., Pagels, M., Münch, J., A behavior marker for measuring non-technical skills of software professionals: An empirical study (2015) International Journal of Software engineering and Knowledge engineering, 25, pp. 1733-1738. , https://doi.org/10.1142/S0218194015710084
dc.relation.referencesSudhakar, G.P., Farooq, A., Patnaik, S., Soft factors affecting the performance of software development teams (2011) Team Performance Management, 17, pp. 187-205. , https://doi.org/10.1108/13527591111143718
dc.relation.referencesChaka, C., Skills, competencies and literacies attributed to 4IR/Industry 4.0: Scoping review (2020) IFLA Journal, 46, pp. 369-399. , https://doi.org/10.1177/0340035219896376
dc.relation.referencesHecklau, F., Galeitzke, M., Flachs, S., Kohl, H., Holistic approach for human resource management in industry 4.0 (2016) Procedia CIRP, 54, pp. 1-6. , https://doi.org/10.1016/j.procir.2016. 05.102
dc.relation.referencesBongomin, O., Gilibrays Ocen, G., Oyondi Nganyi, E., Musinguzi, A., Omara, T., Exponential disruptive technologies and the required skills of industry 4.0 (2020) Journal of engineering (United Kingdom), , https://doi.org/10.1155/2020/4280156
dc.relation.referencesKaur, R., Awasthi, A., Grzybowska, K., (2020) Evaluation of Key Skills Supporting Industry 4.0—A Review of Literature and Practice. Sustainable Logistics and Production Industry, pp. 19-29. , https://doi.org/10.1007/978-3-030-33369-0_2
dc.relation.referencesShet, S.V., Pereira, V., Proposed managerial competencies for industry 4.0—Implications for social sustainability (2021) Technological Forecasting and Social Change, 173. , https://doi.org/10.1016/j.techfore.2021.121080
dc.relation.referencesRibeiro, A., Amaral, A., Barros, T., Project manager competencies in the context of the industry 4.0 (2021) Procedia Computer Science, 181, pp. 803-810. , https://doi.org/10.1016/j.procs. 2021.01.233
dc.relation.referencesMaisiri, W., Darwish, H., van Dyk, L., An investigation of industry 4.0 skills requirements (2019) South African Journal of Industrial engineering, 30, pp. 90-105. , https://doi.org/10.7166/30-3-2230
dc.relation.referencesKitchenham, B., Charters, S., (2007) Guidelines for Performing Systematic Literature Reviews in Software engineering Version 2.3
dc.relation.referencesBrereton, P., Kitchenham, B.A., Budgen, D., Turner, M., Khalil, M., Lessons from applying the systematic literature review process within the software engineering domain (2007) Journal of Systems and Software, 80, pp. 571-583. , https://doi.org/10.1016/j.jss.2006.07.009
dc.relation.referencesMuhuri, P.K., Shukla, A.K., Abraham, A., Industry 4.0: A bibliometric analysis and detailed overview (2019) engineering Applications of Artificial Intelligence, 78, pp. 218-235. , https://doi. org/10.1016/j.engappai.2018.11.007
dc.relation.referencesDehbozorgi, N., Pramasani Mohandoss, D., Aspect-based emotion analysis on speech for predicting performance in collaborative learning (2021) 2021 IEEE Frontiers in Education Conference (FIE), , IEEE
dc.relation.referencesMarnewick, A., Marnewick, C., The ability of project managers to implement industry 4.0-related projects (2020) IEEE Access, 8. , https://doi.org/10.1109/ACCESS.2019.2961678
dc.relation.referencesSiddoo, V., Sawattawee, J., Janchai, W., Thinnukool, O., An exploratory study of digital workforce competency in Thailand (2019) Heliyon, 5. , https://doi.org/10.1016/j.heliyon.2019. e01723
dc.relation.referencesBorah, D., Malik, K., Massini, S., Are engineering graduates ready for R & D jobs in emerging countries? Teaching-focused industry-academia collaboration strategies (2019) Research Policy, 48. , https://doi.org/10.1016/j.respol.2019.103837
dc.relation.referencesMachuca-Villegas, L., Gasca-Hurtado, G.P., Morillo, S., Restrepo-Tamayo, L.M., Perceptions of the human and social factors that influence the productivity of software development teams in Colombia: A statistical analysis (2022) Journal of Systems and Software, 192. , https://doi.org/10.1016/j.jss.2022.111408
dc.relation.referencesBenešová, A., Tupa, J., Requirements for education and qualification of people in industry (2017) Procedia Manufacturing, pp. 2195-2202
dc.relation.referencesJohnson, M., Jain, R., Ethne, P.B., Deborah, S., Jessica, S., Johnson, M., Brennan-Tonetta, P., Silver, D., Impact of big data and artificial intelligence on industry: Developing a workforce roadmap for a data driven economy (2021) Global Journal of Flexible Systems Management, 22, pp. 197-217. , https://doi.org/10.1007/s40171-021-00272-y
dc.relation.referencesPark, S., Yu, H., Chang, H., Design of the required tasks of industrial security experts based on job openings (2022) Security Journal, 35, pp. 317-344. , https://doi.org/10.1057/s41284-02000279-7
dc.relation.referencesSaniuk, S., Caganova, D., Saniuk, A., Knowledge and skills of industrial employees and managerial staff for the industry 4.0 implementation (2021) Global Journal of Flexible System Management
dc.relation.referencesMcKenzie, S., Coldwell, J., Stuart, N., Integrating career development into an undergraduate IT curriculum at an Australian University (2021) Education and Information Technology, pp. 5971-5990. , https://doi.org/10.1007/s10639-021-10567-3
dc.relation.referencesKipper, L.M., Iepsen, S., Dal Forno, A.J., Frozza, R., Furstenau, L., Agnes, J., Cossul, D., Scientific mapping to identify competencies required by industry 4.0 Technology in Society, 64. , https://doi.org/10.1016/j.techsoc.2020.101454
dc.relation.references(2018) The Future of Jobs Report
dc.relation.references(2019) Talent Radar How the Best Companies Get the Skills they Need to Thrive in the Digital Era
dc.relation.referencesSpiezia, V., (2017) Jobs and Skills in the Digital Economy
dc.relation.references(2020) Industry 4.0: Implications for Higher Education Institutions: State-Of-Maturity and Competence Needs
dc.relation.referencesDonthu, N., Kumar, S., Mukherjee, D., Pandey, N., Lim, W.M., How to conduct a bibliometric analysis: An overview and guidelines (2021) Journal of Business Research, 133, pp. 285-296. , https://doi.org/10.1016/j.jbusres.2021.04.070
dc.relation.referencesTrendowicz, A., Ochs, M., Wickenkamp, A., Münch, J., Ishigai, Y., Kawaguchi, T., (2008) Integrating Human Judgment and Data Analysis to Identify Factors Influencing Software Development Productivity. E-Informatica Software engineering Journal, 2, pp. 47-69
dc.relation.referencesCruzes, D.S., Dyb, T., Research synthesis in software engineering: A tertiary study (2011) Information and Software Technology, 53, pp. 440-455. , https://doi.org/10.1016/j.infsof. 2011.01.004
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceStudies in Computational Intelligence
dc.sourceStud. Comput. Intell.
dc.sourceScopus
dc.subjectIndustry 4.0eng
dc.subjectNon-technical factorseng
dc.subjectSoftware developmenteng
dc.subjectSystematic mapping of literatureeng
dc.titleNon-technical Factors in Software engineering Within the Context of Industry 4.0eng
dc.typebook chapter
dc.type.localParte de librospa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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