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How Human and Organizational Factors Influence Software Teams Productivity in COVID-19 Pandemic: A Brazilian Survey

Published: 21 December 2020 Publication History

Abstract

Software companies have adopted remote work to maintain practitioners safe during the COVID-19 outbreak worldwide. The remote environment in pandemic time brings some challenges, mainly for practitioners with limited experience with this work modality. Moreover, there are several factors in the environment that together with the change in the work routine can directly impact the teams productivity, such as human and organizational factors. To investigate this problem, we conducted a survey applied to software teams in Brazil to analyze how such factors can influence their productivity in the remote environment during the COVID-19 pandemic. The survey was guided by human and organizational factors identified in the literature that affect the productivity of software teams, such as: work environment, collaboration and organization of teams, communication, motivation, among others. Our survey obtained 58 participants from all Brazilian regions. As main conclusions, we identified that 74.1% of the participants consider their productivity remains good or excellent, and 84.5% feel motivated and have easy communication with their co-workers. Furthermore, the main factors influencing the productivity are external interruption, environment adaptation, and emotional issues.

References

[1]
Mridul Bhardwaj and Ajay Rana. 2016. Key Software Metrics and Its Impact on Each Other for Software Development Projects. SIGSOFT Softw. Eng. Notes 41, 1 (Feb. 2016), 1--4.
[2]
Edna D. Canedo and Giovanni A. Santos. 2019. Factors Affecting Software Development Productivity: An empirical study. In Proceedings of the XXXIII Brazilian Symposium on Software Engineering. ACM, 307--316.
[3]
Valentine Casey. 2010. Virtual software team project management. Journal of the Brazilian Computer Society 16, 2 (2010), 83--96.
[4]
Juliet Corbin and Anselm Strauss. 2014. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
[5]
Broderick Crawford, Ricardo Soto, Claudio L. de la Barra, Kathleen Crawford, and Eduardo Olguín. 2014. The influence of emotions on productivity in software engineering. In International Conference on Human-Computer Interaction. Springer, 307--310.
[6]
Gibeon S. de Aquino Junior and Silvio R. de L. Meira. 2009. Towards Effective Productivity Measurement in Software Projects. In 2009 Fourth International Conference on Software Engineering Advances. IEEE, 241--249.
[7]
Thaís Ferreira, Davi Viana, Juliana Fernandes, and Rodrigo Santos. 2018. Identifying Emerging Topics and Difficulties in Software Engineering Education in Brazil. In Proceedings of the XXXII Brazilian Symposium on Software Engineering. ACM, 230--239.
[8]
Denae Ford, Reed Milewicz, and Alexander Serebrenik. 2019. How remote work can foster a more inclusive environment for transgender developers. In 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE). IEEE, 9--12.
[9]
Zack Friedman. 2020. Work From Home For Rest Of Year? Some Tech Companies Say "Yes". Retrieved May 24, 2020 from https://www.forbes.com/sites/zackfriedman/2020/05/08/google-facebook-amazon-work-home/
[10]
Daniel Graziotin, Fabian Fagerholm, Xiaofeng Wang, and Pekka Abrahamsson. 2018. What happens when software developers are (un) happy. Journal of Systems and Software 140 (2018), 32--47.
[11]
Brittany Johnson, Thomas Zimmermann, and Christian Bird. 2019. The Effect of Work Environments on Productivity and Satisfaction of Software Engineers. IEEE Transactions on Software Engineering (2019).
[12]
Robert Lagerström, Liv Marcks von Würtemberg, Hannes Holm, and Oscar Luczak. 2012. Identifying factors affecting software development cost and productivity. Software Quality Journal 20, 2 (2012), 395--417.
[13]
Jessica Li, Rajashi Ghosh, and Stefanos Nachmias. 2020. In a time of COVID-19 pandemic, stay healthy, connected, productive, and learning: words from the editorial team of HRDI. Taylor & Francis.
[14]
Liliana Machuca-Villegas and Gloria P. Gasca-Hurtado. 2019. Towards a Social and Human Factor Classification Related to Productivity in Software Development Teams. In Proceedings of the 8th International Conference on Software Process Improvement. Springer, 36--50.
[15]
Claudia de O. Melo, Daniela S. Cruzes, Fabio Kon, and Reidar Conradi. 2013. Interpretative case studies on agile team productivity and management. Information and Software Technology 55, 2 (2013), 412--427.
[16]
André N. Meyer, Thomas Fritz, Gail C. Murphy, and Thomas Zimmermann. 2014. Software developers' perceptions of productivity. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 19--29.
[17]
Jefferson S. Molléri, Kai Petersen, and Emilia Mendes. 2016. Survey Guidelines in Software Engineering: An Annotated Review. In Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ACM, 1--6.
[18]
Jefferson S. Molléri, Kai Petersen, and Emilia Mendes. 2020. An empirically evaluated checklist for surveys in software engineering. Information and Software Technology 119 (2020), 106240.
[19]
Edson Oliveira, Tayana Conte, Marco Cristo, and Natasha Valentim. 2018. Influence Factors in Software Productivity -- A Tertiary Literature Review. International Journal of Software Engineering and Knowledge Engineering 28, 11n12 (2018), 1795--1810.
[20]
Teade Punter, Marcus Ciolkowski, Bernd Freimut, and Isabel John. 2003. Conducting on-line surveys in software engineering. In 2003 International Symposium on Empirical Software Engineering. IEEE, 80--88.
[21]
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, et al. 2020. Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. arXiv preprint arXiv:2005.01127 (2020).
[22]
Caitlin Sadowski and Thomas Zimmermann. 2019. Rethinking Productivity in Software Engineering. Springer.
[23]
Suzana C. de B. Sampaio, Emanuella A. Barros, Gibeon S. de A. Junior, Mauro J. C. Silva, and Silvio R. de L. Meira. 2010. A Review of Productivity Factors and Strategies on Software Development. In 2010 Fifth International Conference on Software Engineering Advances. IEEE, 196--204.
[24]
Walt Scacchi. 1995. Understanding software productivity. In Software Engineering and Knowledge Engineering: Trends for the next decade. World Scientific, 273--316.
[25]
Margaret-Anne Storey, Thomas Zimmermann, Christian Bird, Jacek Czerwonka, Brendan Murphy, and Eirini Kalliamvakou. 2019. Towards a Theory of Software Developer Job Satisfaction and Perceived Productivity. IEEE Transactions on Software Engineering (2019).
[26]
WHO. 2020. Coronavirus. Retrieved May 24, 2020 from https://www.who.int/health-topics/coronavirus
[27]
WHO. 2020. Coronavirus disease 2019 (COVID-19): situation report 51. Retrieved May 24, 2020 from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200311-sitrep-51-covid-19.pdf
[28]
Claes Wohlin, Per Runeson, Martin Höst, Magnus C. Ohlsson, Björn Regnell, and Anders Wesslén. 2012. Experimentation in software engineering. Springer Science & Business Media.
[29]
Agustin Yagüe, Juan Garbajosa, Jessica Díaz, and Eloy González. 2016. An exploratory study in communication in Agile Global Software Development. Computer Standards & Interfaces 48 (2016), 184--197.

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      cover image ACM Other conferences
      SBES '20: Proceedings of the XXXIV Brazilian Symposium on Software Engineering
      October 2020
      901 pages
      ISBN:9781450387538
      DOI:10.1145/3422392
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 21 December 2020

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      Author Tags

      1. Human and organizational factors
      2. Productivity
      3. Remote work

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      • (2024)Navigating Remote Work: Challenges and Adaptations of Agile Teams Amidst Covid-19Enterprise Information Systems10.1007/978-3-031-64748-2_4(66-94)Online publication date: 26-Jul-2024
      • (2023)Ownership in the Hands of Accountability at Brightsquid: A Case Study and a Developer SurveyProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3613890(2008-2019)Online publication date: 30-Nov-2023
      • (2023)Investigating the Perceived Impact of Maternity on Software Engineering: a Women’s Perspective2023 IEEE/ACM 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE)10.1109/CHASE58964.2023.00023(138-149)Online publication date: May-2023
      • (2023)Post-pandemic Resilience of Hybrid Software Teams2023 IEEE/ACM 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE)10.1109/CHASE58964.2023.00009(1-12)Online publication date: May-2023
      • (2023)Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established CompaniesIEEE Access10.1109/ACCESS.2023.327991711(55178-55203)Online publication date: 2023
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      • (2022)Software Productivity in Practice: A Systematic Mapping StudySoftware10.3390/software10200081:2(164-214)Online publication date: 6-May-2022
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