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arxiv: 2604.28101 · v1 · submitted 2026-04-30 · 💻 cs.SE

Beyond Code, We Are People: A Systematic Mapping of 25 Years of Literature on Soft Skills in Agile Development Teams

Pith reviewed 2026-05-07 07:31 UTC · model grok-4.3

classification 💻 cs.SE
keywords soft skillsagile developmentsystematic mappingScrumteamworkcommunicationadaptabilitysoftware teams
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The pith

Communication, adaptability, teamwork, and leadership recur as key soft skills across 25 years of agile development studies.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper maps 97 studies from 2000 to 2025 to catalog non-technical competencies that support agile teams. It finds that communication, adaptability, teamwork, and leadership appear most often and link to specific roles within teams. Scrum stands out as the dominant agile approach covered in the reviewed work. The mapping also flags clear gaps, especially limited attention to soft skills that differ by role. These patterns help clarify how human factors contribute to software project effectiveness alongside technical work.

Core claim

This systematic mapping of 97 studies identifies communication, adaptability, teamwork, and leadership as the most recurring soft skills in agile contexts, shows their associations with different team roles, establishes Scrum as the primary agile approach discussed, and highlights the absence of detailed research on role-specific soft skills as a major gap in the literature.

What carries the argument

Systematic mapping of 97 selected studies from major databases, used to categorize recurring competencies, link them to roles, and surface gaps over the 25-year span.

If this is right

  • Training and development programs can target communication and leadership to strengthen agile team outcomes.
  • Computing curricula can incorporate these competencies to prepare students for collaborative project environments.
  • Practitioners can map the identified skills to roles when building or assessing teams.
  • Research efforts can prioritize filling the noted gap in role-specific soft skill analysis.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Teams that develop these skills alongside technical abilities may achieve more consistent project delivery in changing conditions.
  • Remote and distributed agile work could amplify the importance of adaptability and clear communication.
  • Examining how these soft skills interact with new tools such as automated planning aids would extend the current findings.

Load-bearing premise

The 97 studies captured through database searches form a representative sample of the full literature on soft skills in agile development without major bias from search terms or coverage limits.

What would settle it

Locating a substantial body of additional peer-reviewed studies from the same period that were missed by the searches and that report markedly different sets of recurring soft skills or agile approaches.

Figures

Figures reproduced from arXiv: 2604.28101 by Carla Ilane Bezerra, Israely Lima, Ivan Machado, Lucas Moura Louren\c{c}o, M\'arcio Ribeiro.

Figure 1
Figure 1. Figure 1: Study search and selection process view at source ↗
Figure 2
Figure 2. Figure 2: Frequency per year negotiate, and share responsibilities is crucial for teams to achieve collective goals through iterations and increments. Leadership (45 mentions, 46.3%) also stands out, but as a distributed competency among team members who assume roles of facilitation, motivation, and decision-making. This reinforces the concept of shared leader￾ship, which is typical of self-organizing teams. Adaptab… view at source ↗
read the original abstract

Software development is a sociotechnical and human-centered endeavor in which human factors directly influence quality, productivity, and innovation capacity. In this context, career development in computing goes beyond technical mastery, requiring competencies that enable professionals to deal with continuous change and collaborative demands. Among these, non-technical skills (soft skills) stand out, encompassing social, emotional, and communicational dimensions essential to team effectiveness and the success of software projects. Despite their recognized importance, there is still a need for a systematic mapping of the most relevant soft skills over the past 25 years, a period marked by the adoption of agile approaches in industry. This gap limits the integration of human and technical aspects in software development. This study presents a systematic mapping of the literature, analyzing 97 studies published between January 2000 and May 2025 across major scientific databases. The results identify recurring competencies such as communication, adaptability, teamwork, and leadership, as well as their association with different roles in agile contexts. The main agile approaches adopted, particularly Scrum, are also identified, along with key gaps in the literature, such as the lack of studies on role specific soft skills. The findings can support researchers, educators, and practitioners in designing curricula, training strategies, and organizational practices aligned with human factors, reinforcing the importance of integrating social and technical dimensions in the development of collaborative and innovative professionals.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 3 minor

Summary. The manuscript conducts a systematic mapping study of soft skills in agile development teams, reviewing 97 studies published between January 2000 and May 2025. It identifies recurring competencies such as communication, adaptability, teamwork, and leadership and their associations with different roles in agile contexts, notes the prevalence of Scrum among agile approaches, and highlights gaps including the lack of research on role-specific soft skills. The work positions these findings as guidance for curricula, training, and organizational practices that integrate human and technical factors in software development.

Significance. If the 97-study sample is shown to be representative through transparent, replicable methods, the mapping would provide a useful consolidation of 25 years of research on non-technical competencies in agile teams. It could inform software engineering education and practice by linking specific soft skills to roles and agile frameworks while flagging under-studied areas. The topic aligns with growing interest in sociotechnical aspects of software engineering, but the current lack of methodological detail prevents the claims from being evaluated or built upon.

major comments (2)
  1. [Abstract and Methods section] Abstract and Methods section: The abstract states that 97 studies were analyzed from major scientific databases but supplies no information on search protocols, search strings, databases queried, inclusion/exclusion criteria, quality assessment, data extraction, or synthesis methods. This is load-bearing for the central claims because the identification of recurring skills, role associations, Scrum dominance, and literature gaps rests entirely on the assumption that the 97 papers constitute a comprehensive, unbiased capture of the 2000–2025 literature. Standard SMS guidelines require explicit reporting of these steps to allow assessment of selection bias and replicability.
  2. [Results section] Results section: The claims that communication, adaptability, teamwork, and leadership are the 'recurring competencies' and that role-specific soft skills constitute a key gap are presented without supporting quantitative or qualitative evidence such as frequency counts, tables showing study distribution by skill or role, or explicit synthesis from the primary studies. Without these details, it is impossible to determine whether the patterns reflect the broader literature or are artifacts of the (undescribed) sampling frame.
minor comments (3)
  1. [Title] Title: The title states '25 Years of Literature' while the abstract specifies January 2000 to May 2025; consider revising for exact alignment or clarifying the precise temporal scope.
  2. [Introduction] Introduction: The motivation is clear, but the positioning would be strengthened by brief reference to any prior systematic reviews or mappings on soft skills or human factors in software engineering to better articulate novelty.
  3. [Overall] Overall presentation: Ensure that any tables or figures summarizing skills, roles, or agile approaches are explicitly referenced in the text and include clear captions with units or counts where applicable.

Simulated Author's Rebuttal

2 responses · 0 unresolved

Thank you for your constructive and detailed review of our manuscript. We appreciate the emphasis on methodological transparency and evidential support, which are essential for a systematic mapping study. We address each major comment point by point below, indicating where revisions will be made to strengthen the paper while preserving its core contributions.

read point-by-point responses
  1. Referee: [Abstract and Methods section] Abstract and Methods section: The abstract states that 97 studies were analyzed from major scientific databases but supplies no information on search protocols, search strings, databases queried, inclusion/exclusion criteria, quality assessment, data extraction, or synthesis methods. This is load-bearing for the central claims because the identification of recurring skills, role associations, Scrum dominance, and literature gaps rests entirely on the assumption that the 97 papers constitute a comprehensive, unbiased capture of the 2000–2025 literature. Standard SMS guidelines require explicit reporting of these steps to allow assessment of selection bias and replicability.

    Authors: We agree that explicit, replicable reporting of the search and selection process is fundamental to validating the representativeness of the 97 studies. The full manuscript contains a Methods section outlining the overall SMS approach (following established guidelines such as those by Petersen et al.), including databases queried, high-level inclusion/exclusion criteria, and thematic synthesis. However, we acknowledge that greater specificity is needed to fully address potential selection bias concerns. In the revised version, we will: expand the abstract with a concise methods summary; provide the precise search strings and Boolean operators; include a PRISMA flow diagram detailing paper counts at each filtering stage; and elaborate on data extraction (e.g., coding scheme for soft skills and roles) and quality assessment procedures. These additions will enable readers to evaluate the sample's comprehensiveness without changing the identified competencies or gaps. revision: yes

  2. Referee: [Results section] Results section: The claims that communication, adaptability, teamwork, and leadership are the 'recurring competencies' and that role-specific soft skills constitute a key gap are presented without supporting quantitative or qualitative evidence such as frequency counts, tables showing study distribution by skill or role, or explicit synthesis from the primary studies. Without these details, it is impossible to determine whether the patterns reflect the broader literature or are artifacts of the (undescribed) sampling frame.

    Authors: We thank the referee for this observation, which highlights an opportunity to make the synthesis more transparent. The Results section currently derives the recurring competencies and gaps from a thematic analysis across the 97 studies, but we concur that explicit quantitative backing would strengthen verifiability. In the revision, we will add: a summary table with frequency counts and percentages for each soft skill (e.g., communication appearing in X studies); a distribution table or chart by agile approach (quantifying Scrum prevalence); role-specific associations with example citations or excerpts from primary studies; and an expanded discussion of literature gaps, including counts of studies addressing (or omitting) role-specific skills. These elements will directly link the claims to the underlying data, allowing assessment of whether patterns are representative. revision: yes

Circularity Check

0 steps flagged

No circularity: descriptive synthesis of 97 external studies

full rationale

This systematic mapping study derives its claims by applying standard search, selection, and thematic synthesis steps to 97 independently published papers retrieved from scientific databases. No equations, fitted parameters, predictions, or uniqueness theorems appear in the derivation chain. The identification of recurring competencies (communication, adaptability, teamwork, leadership) and gaps (role-specific skills) is an aggregation of content reported in the selected external literature, not a reduction to the paper's own inputs or self-citations. The representativeness of the sample affects external validity but does not create self-definitional, fitted-input, or self-citation-load-bearing circularity. The process is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim depends on the assumption that the 97 studies form a representative sample of the literature; this rests on standard systematic mapping protocols rather than new axioms or invented entities.

axioms (1)
  • domain assumption Systematic mapping studies in software engineering follow established protocols such as those by Petersen or Kitchenham for searching, selecting, and analyzing literature.
    The paper implicitly relies on standard SMS methodology to justify the analysis of 97 studies and identification of patterns and gaps.

pith-pipeline@v0.9.0 · 5570 in / 1600 out tokens · 70482 ms · 2026-05-07T07:31:13.709156+00:00 · methodology

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Works this paper leans on

57 extracted references · 30 canonical work pages

  1. [1]

    Pekka Abrahamsson, Outi Salo, Jussi Ronkainen, and Juhani Warsta. 2002. Agile Software Development Methods: Review and Analysis.Proc. Espoo 2002(01 2002), 3–107

  2. [2]

    Faheem Ahmed, Luiz Capretz, Salah Bouktif, and Piers Campbell. 2015. Soft Skills and Software Development: A Reflection from the Software Industry. International Journal of Information Processing and Management4 (07 2015). doi:10.4156/ijipm.vol14.issue3.17

  3. [3]

    Faheem Ahmed, Luiz Fernando Capretz, and Piers Campbell. 2012. Evaluating the demand for soft skills in software development.It Professional14, 1 (2012), 44–49

  4. [4]

    Sawalha, and Heba Abdelnabi

    Samar Al-Saqqa, S. Sawalha, and Heba Abdelnabi. 2020. Agile Software Develop- ment: Methodologies and Trends.Int. J. Interact. Mob. Technol.14 (2020), 246–270. doi:10.3991/ijim.v14i11.13269

  5. [5]

    Apostolos Ampatzoglou, Stamatia Bibi, Paris Avgeriou, and Alexander Chatzige- orgiou. 2020. Guidelines for managing threats to validity of secondary studies in software engineering. InContemporary empirical methods in software engineering. Springer, 415–441

  6. [6]

    Klara Antlova. 2014. Agile Approach in the Project Management of the Czech Companies.Procedia Technology16 (2014), 929–933. doi:10.1016/j.protcy.2014.10. 045 Publisher: Elsevier BV

  7. [7]

    Nana Assyne, Hadi Ghanbari, and Mirja Pulkkinen. 2022. The essential compe- tencies of software professionals: A unified competence framework.Information and Software Technology151 (Nov. 2022), 107020. doi:10.1016/j.infsof.2022.107020 Publisher: Elsevier BV

  8. [8]

    Hamdy Michael Ayas, Regina Hebig, and Philipp Leitner. 2024. The Roles, Respon- sibilities, and Skills of Engineers in the Era of Microservices-Based Architectures. InProceedings of the 2024 IEEE/ACM 17th International Conference on Coopera- tive and Human Aspects of Software Engineering. ACM, Lisbon Portugal, 13–23. doi:10.1145/3641822.3641871

  9. [9]

    Ruth Baumgart, Markus Hummel, and Roland Holten. 2015. Personality traits of Scrum roles in agile software development teams-a qualitative analysis. (2015)

  10. [10]

    Isaura Cardoso Cavalcante de Castro, Afonso Carneiro Lima, and Hercília Correia Cordeiro. 2023. SOFT SKILLS E FORMAÇÃO DE CAPACIDADES DINÂMICAS EM EMPRESAS DE TI.Revista Gestão e Conhecimento Contemporâneo–REGECO 1, 2 (2023)

  11. [11]

    Vanessa Maribel Choque-Soto and Victor Dario Sosa-Jauregui. 2024. Assessing Soft Skills Development in Informatics Students Through Project-Based Learning and Agile Frameworks. In2024 International Symposium on Accreditation of Engineering and Computing Education (ICACIT). IEEE, 1–8

  12. [12]

    Murilo Coelho, Allysson Araújo, Sávio Freire, and Matheus Paixao. 2024. Um Estudo Comparativo entre a Visão de Líderes e Liderados sobre a Importância de Soft Skills em Desenvolvimento de Software. InAnais do IX Workshop sobre Aspectos Sociais, Humanos e Econômicos de Software(Brasília/DF). SBC, Porto Alegre, RS, Brasil, 130–140. doi:10.5753/washes.2024.3073

  13. [13]

    Wellynton Diniz, Bruno Gadelha, Igor Steinmacher, and César França. 2025. Habilidades Colaborativas no Mercado de TI: Uma Investigação sobre Requisi- tos de Soft Skills. InAnais do XX Simpósio Brasileiro de Sistemas Colaborativos (Manaus/AM). SBC, Porto Alegre, RS, Brasil, 139–150. doi:10.5753/sbsc.2025.8293

  14. [14]

    Marisa Exter, Secil Caskurlu, and Todd Fernandez. 2018. Comparing Computing Professionals’ Perceptions of Importance of Skills and Knowledge on the Job and Coverage in Undergraduate Experiences.ACM Transactions on Computing Education18, 4 (Dec. 2018), 1–29. doi:10.1145/3218430 Publisher: Association for Computing Machinery (ACM)

  15. [15]

    Fabian Fagerholm, Marko Ikonen, Petri Kettunen, Jürgen Münch, Virpi Roto, and Pekka Abrahamsson. 2014. How do software developers experience team perfor- mance in lean and agile environments?. InProceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering. ACM, London England United Kingdom, 1–10. doi:10.1145/26012...

  16. [16]

    Fabian Fagerholm, Marko Ikonen, Petri Kettunen, Jürgen Münch, Virpi Roto, and Pekka Abrahamsson. 2015. Performance Alignment Work: How software developers experience the continuous adaptation of team performance in Lean and Agile environments.Information and Software Technology64 (Aug. 2015), 132–147. doi:10.1016/j.infsof.2015.01.010 Publisher: Elsevier BV

  17. [17]

    Giovanni Stroppa Faquin, Maria Luiza Furtuozo Falci, and Marco Antônio Pereira Araújo. 2016. Uma metodologia de avaliação da relação entre perfis de personali- dade e desempenho acadêmico em alunos de sistemas de informação. InSimpósio Brasileiro de Sistemas de Informação (SBSI). SBC, 285–292

  18. [18]

    Luis Fernández-Sanz and Sanjay Misra. 2011. Influence of human factors in software quality and productivity. InInternational Conference on Computational Science and Its Applications. Springer, 257–269

  19. [19]

    Raluca Florea, Viktoria Stray, and Dag I.K. Sjøberg. 2023. On the roles of software testers: An exploratory study.Journal of Systems and Software204 (Oct. 2023), 111742. doi:10.1016/j.jss.2023.111742 Publisher: Elsevier BV

  20. [20]

    Alexandre Gomes, Manuel Neto, Dalton Valadares, Mirko Perkusich, Danyllo Albuquerque, Hyggo Almeida, and Angelo Perkusich. 2020. Evaluating the Rela- tionship of Personality and Teamwork Quality in the Context of Agile Software Development. doi:10.18293/SEKE2020-158

  21. [21]

    Rodrigo Feitosa Gonçalves, Odette Mestrinho Passos, and Rainer Xavier de Amorim. 2024. Investigating the Competencies and Skills of Computer Pro- fessionals. InProceedings of the 20th Brazilian Symposium on Information Systems. 1–10

  22. [22]

    Lucas Gren, Alessia Knauss, and Christoph Johann Stettina. 2018. Non-technical individual skills are weakly connected to the maturity of agile practices.Infor- mation and Software Technology99 (July 2018), 11–20. doi:10.1016/j.infsof.2018. 02.006 Publisher: Elsevier BV

  23. [23]

    Anita Hidayati, E. K. Budiardjo, and B. Purwandari. 2020. Hard and Soft Skills for Scrum Global Software Development Teams.Proceedings of the 3rd International Conference on Software Engineering and Information Management(2020). doi:10. 1145/3378936.3378966

  24. [24]

    Dulaji Hidellaarachchi, John Grundy, Rashina Hoda, and Ingo Mueller. 2023. The Influence of Human Aspects on Requirements Engineering-related Activities: Software Practitioners’ Perspective.ACM Transactions on Software Engineer- ing and Methodology32, 5 (Sept. 2023), 1–37. doi:10.1145/3546943 Publisher: Association for Computing Machinery (ACM)

  25. [25]

    Rashina Hoda, James Noble, and Stuart Marshall. 2013. Self-Organizing Roles on Agile Software Development Teams.IEEE Transactions on Software Engineering39, 3 (March 2013), 422–444. doi:10.1109/tse.2012.30 Publisher: Institute of Electrical and Electronics Engineers (IEEE)

  26. [26]

    Michael John, Frank Maurer, and Bjørnar Tessem. 2005. Human and social factors of software engineering: workshop summary.ACM SIGSOFT Software Engineering Notes30, 4 (2005), 1–6

  27. [27]

    Ben Kovitz. 2003. Hidden skills that support phased and agile requirements engineering.Requirements Engineering8, 2 (July 2003), 135–141. doi:10.1007/ s00766-002-0162-9 Publisher: Springer Science and Business Media LLC

  28. [28]

    Patricia Lago, Per Runeson, Qunying Song, and Roberto Verdecchia. 2024. Threats to validity in software engineering–hypocritical paper section or essential analy- sis? InProceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. 314–324

  29. [29]

    Per Lenberg, Robert Feldt, and Lars Göran Wallgren. 2015. Human Factors Related Challenges in Software Engineering – An Industrial Perspective. InProceedings of the 2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering. 43–49. doi:10.1109/CHASE.2015.13

  30. [30]

    Alessandro Liberati, Douglas G Altman, Jennifer Tetzlaff, Cynthia Mulrow, Pe- ter C Gøtzsche, John PA Ioannidis, Mike Clarke, Philip J Devereaux, Jos Kleijnen, and David Moher. 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.Bmj339 (2009)

  31. [31]

    Fulvia Lima, Bachan Ghimire, Hermano Moura, Alexandre Luna, and Daniela Damian. 2025. Engagement in Agile Teams: Challenges in Learning Environments. InAMCIS 2025 TREOs

  32. [32]

    Israely Lima, Lucas Moura Lourenço, Márcio Ribeiro, Ivan Machado, and Carla Ilane Bezerra. 2026. Beyond Code, We Are People: A Systematic Map- ping of 25 Years of Literature on Soft Skills in Agile Development Teams. https://zenodo.org/records/19899249. Accessed: Jan. 2026

  33. [33]

    Tiago Lima and Josiane Porto. 2019. Análise de Soft Skills na Visão de Profission- ais da Engenharia de Software. InAnais do IV Workshop sobre Aspectos Sociais, Humanos e Econômicos de Software(Belém). SBC, Porto Alegre, RS, Brasil, 31–40. doi:10.5753/washes.2019.6407

  34. [34]

    Tan Trung Luong, Uthayasankar Sivarajah, and Vishanth Weerakkody. 2021. Do Agile Managed Information Systems Projects Fail Due to a Lack of Emotional Intelligence?Information Systems Frontiers23, 2 (April 2021), 415–433. doi:10. 1007/s10796-019-09962-6 Publisher: Springer Science and Business Media LLC

  35. [35]

    Thales Machado, Yule Ximenes, Vânia Neves, and Luciana Salgado. 2021. A case study on the perceptions of I.T. professionals during the transition from a traditional to an agile process model. InAnais do XVII Simpósio Brasileiro de Sistemas de Informação(Uberlândia). SBC, Porto Alegre, RS, Brasil. https: //sol.sbc.org.br/index.php/sbsi/article/view/17718

  36. [36]

    Phillip Mangiza and Irwin Brown. 2020. Requisite Skills Profile of Software Devel- opment Professionals for Startups. InConference of the South African Institute of Computer Scientists and Information Technologists 2020. ACM, Cape Town South Africa, 102–109. doi:10.1145/3410886.3410904

  37. [37]

    Gerardo Matturro, Carina Fontán, and Florencia Raschetti. 2015. Soft Skills in Scrum Teams. A survey of the most valued to have by Product Owners and Scrum Masters. InInternational Conferences on Software Engineering and Knowledge Engineering, Vol. 2015. 42–45. doi:10.18293/seke2015-026 ISSN: 2325-9000

  38. [38]

    Gerardo Matturro, Florencia Raschetti, and Carina Fontán. 2019. A systematic mapping study on soft skills in software engineering.J. Univers. Comput. Sci.25, 1 (2019), 16–41

  39. [39]

    Ariádna Miranda, Allysson Allex Araújo, Emanuel Coutinho, and Jerffeson Souza

  40. [40]

    2021), 98–125

    Understanding Soft Skills as Cooperative Practices in Software Devel- opment: Reflections on an Internship Workplace.iSys - Brazilian Journal of Information Systems14, 3 (Oct. 2021), 98–125. doi:10.5753/isys.2021.1954 EASE 2026, 9–12 June, 2026, Glasgow, Scotland, United Kingdom Lima et al

  41. [41]

    Mnkandla and B

    E. Mnkandla and B. Dwolatzky. 2004. Balancing the Human and the Engineering Factors in Software Development. InProceedings of the 2004 IEEE Africon Confer- ence in Africa (IEEE Cat. No. 04CH37590). IEEE, Gaborone, Botswana, 1207–1210. doi:10.1109/AFRICON.2004.1406881

  42. [42]

    Farhad Sadik Mohammed and Fezile Ozdamli. 2024. A systematic literature review of soft skills in information technology education.Behavioral Sciences14, 10 (2024), 894

  43. [43]

    Rafaela Otemaier, Camila Fukuda, and Mariana Couto Siqueira. 2025. Projeto Poli- Women: Desenvolvimento de soft skills para a Inclusão Feminina na Computação e Engenharia. InWomen in Information Technology (WIT). SBC, 498–507

  44. [44]

    Kai Petersen, Robert Feldt, Shahid Mujtaba, and Michael Mattsson. 2008. System- atic mapping studies in software engineering. In12th international conference on evaluation and assessment in software engineering (EASE). BCS Learning & Development

  45. [45]

    Kai Petersen, Sairam Vakkalanka, and Ludwik Kuzniarz. 2015. Guidelines for conducting systematic mapping studies in software engineering: An update. Information and software technology64 (2015), 1–18

  46. [46]

    Poláková, Juliet Horváthová Suleimanová, Peter Madzík, Lukáš Copuš, Ivana Molnárová, and Jana Polednová

    M. Poláková, Juliet Horváthová Suleimanová, Peter Madzík, Lukáš Copuš, Ivana Molnárová, and Jana Polednová. 2023. Soft Skills and Their Importance in the Labour Market under the Conditions of Industry 5.0.Heliyon9 (2023). doi:10. 1016/j.heliyon.2023.e18670

  47. [47]

    Riccardo Rialti and Raffaele Filieri. 2024. Leaders, let’s get agile! Observing agile leadership in successful digital transformation projects.Business Horizons67, 4 (July 2024), 439–452. doi:10.1016/j.bushor.2024.04.003 Publisher: Elsevier BV

  48. [48]

    Suzana CB Sampaio, Thiago Alves Bastos, and Marcelo LM Marinho. 2021. Soft skills for newborn software engineers in agile teams.International Journal of Agile Systems and Management14, 1 (2021), 27–52

  49. [49]

    Yogeshwar Shastri, Rashina Hoda, and Robert Amor. 2017. Understanding the Roles of the Manager in Agile Project Management. InProceedings of the 10th Innovations in Software Engineering Conference. ACM, Jaipur India, 45–55. doi:10. 1145/3021460.3021465

  50. [50]

    Luciano Silva and Danyllo Albuquerque. 2023. Identificação de Soft Skills a Partir da Avaliação de Anúncios de Vagas em Tecnologia da Informação. InAnais do X Encontro Nacional de Computação dos Institutos Federais(João Pessoa/PB). SBC, Porto Alegre, RS, Brasil, 5–8. doi:10.5753/encompif.2023.229952

  51. [51]

    Roselane Silva Farias, Iftekhar Ahmed, and Eduardo Santana De Almeida. 2025. What Makes a Great Software Quality Assurance Engineer?IEEE Transactions on Software Engineering51, 4 (April 2025), 1153–1172. doi:10.1109/tse.2025.3542763 Publisher: Institute of Electrical and Electronics Engineers (IEEE)

  52. [52]

    Adriana Silveira de Souza, Juliano Lopes de Oliveira, Sofia Larissa da Costa Paiva, and Alexandre Marcos Lins de Vasconcelos. 2024. Software Engineering Compe- tency Challenges. InWorkshop sobre Aspectos Sociais, Humanos e Econômicos de Software (W ASHES). SBC, 181–186

  53. [53]

    Leonor Teixeira, Vasco Saavedra, Beatriz Sousa Santos, and Carlos Ferreira

  54. [54]

    UT-Heart: A Finite Element Model Designed for the Multiscale and Multiphysics Integration of our Knowledge on the Human Heart

    Integrating Human Factors in Information Systems Development: User- Centred and Agile Development Approaches. InLecture Notes in Computer Science. Springer International Publishing, Cham, Switzerland, 345–356. doi:10.1007/978- 3-319-40247-5_35

  55. [55]

    Patrícia Wazlawick, Raul Sidnei Wazlawick, and Luciano Azevedo Cassol. 2024. COMPETÊNCIAS HUMANAS EM ONTOLOGIA PARA O FUTURO:: O DESEN- VOLVIMENTO DE UMA REVISÃO SISTEMÁTICA DE LITERATURA EM TEC- NOLOGIA DA INFORMAÇÃO. InVI Congresso Internacional de Ontopsicologia e Desenvolvimento Humano. 6–22

  56. [56]

    Schueller, Iftekhar Ahmed, André Van Der Hoek, and Madhu Reddy

    Novia Wong, Nai-Yu Cheng, Bruna Oewel, Katherine E Genuario, SarahEliza- beth Stoeckl, Stephen M. Schueller, Iftekhar Ahmed, André Van Der Hoek, and Madhu Reddy. 2025. ’It’s a spectrum’: Exploring Autonomy, Competence, and Relatedness in Software Development Processes and Tools. InProceedings of the 2025 CHI Conference on Human Factors in Computing System...

  57. [57]

    Danijela Ćirić, Maja Stančetić, Danijela Gračanin, and Jelena Ćurčić. 2020. The Importance of Non-technical Skills in Agile Project Teams. InLecture Notes on Multidisciplinary Industrial Engineering. Springer International Publishing, Cham, 325–332. doi:10.1007/978-3-030-43616-2_34 ISSN: 2522-5022, 2522-5030. Received 25 january 2026; revised ; accepted