The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Pandemic programming: How COVID-19 affects software developers and how their organizations can help
Open accessAbstract
Context: As a novel coronavirus swept the world in early 2020, thousands of software developers began working from home. Many did so on short notice, under difficult and stressful conditions. Objective: This study investigates the effects of the pandemic on developers’ wellbeing and productivity. Method: A questionnaire survey was created mainly from existing, validated scales and translated into 12 languages. The data was analyzed using non-parametric inferential statistics and structural equation modeling. Results: The questionnaire received 2225 usable responses from 53 countries. Factor analysis supported the validity of the scales and the structural model achieved a good fit (CFI = 0.961, RMSEA = 0.051, SRMR = 0.067). Confirmatory results include: (1) the pandemic has had a negative effect on developers’ wellbeing and productivity; (2) productivity and wellbeing are closely related; (3) disaster preparedness, fear related to the pandemic and home office ergonomics all affect wellbeing or productivity. Exploratory analysis suggests that: (1) women, parents and people with disabilities may be disproportionately affected; (2) different people need different kinds of support. Conclusions: To improve employee productivity, software companies should focus on maximizing employee wellbeing and improving the ergonomics of employees’ home offices. Women, parents and disabled persons may require extra support.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The WHO-5 well-being index: A systematic review of the literature
Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015) · Psychotherapy and Psychosomatics · doi:10.1159/000376585 · Cited by 4,708
Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic
Harper, C. A., Satchell, L. P., Fido, D., & Latzman, R. D. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00281-5 · Cited by 1,564
Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak
DiGiovanni, C., Conley, J., Chiu, D., & Zaborski, J. (2004) · Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science · doi:10.1089/bsp.2004.2.265 · Cited by 483
The Role of Fear-Related Behaviors in the 2013–2016 West Africa Ebola Virus Disease Outbreak
Shultz, J. M., Cooper, J. L., Baingana, F., Oquendo, M. A., Espinel, Z., Althouse, B. M., Marcelin, L. H., Towers, S., Espinola, M., McCoy, C. B., et al. (2016) · Current Psychiatry Reports · doi:10.1007/s11920-016-0741-y · Cited by 328
Intolerance of uncertainty, appraisals, coping, and anxiety: The case of the 2009 H 1 N 1 pandemic
Taha, S., Matheson, K., Cronin, T., & Anisman, H. (2014) · British Journal of Health Psychology · doi:10.1111/bjhp.12058 · Cited by 323
Construct Validity in Software Engineering Research and Software Metrics
Ralph, P., & Tempero, E. (2018) · Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018 · doi:10.1145/3210459.3210461 · Cited by 78
Self-citationDesign Recommendations for Self-Monitoring in the Workplace: Studies in Software Development
Meyer, A. N., Murphy, G. C., Zimmermann, T., & Fritz, T. (2017) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3134714 · Cited by 60
Research works printed but not linked: 51
- Amir B, Ralph P (2018) There is no random sampling in software engineering research. In: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, pp 344–345. https://doi.org/10.1145/3183440.3195001 · DOI
- Anderson R M, Heesterbeek H, Klinkenberg D, Hollingsworth T D (2020) How will country-based mitigation measures influence the course of the covid-19 epidemic? The Lancet 395(10228):931–934 · DOI · Paper page
- ARI (2020) Worry, gratitude & boredom: As covid-19 affects mental, financial health, who fares better; who is worse? http://angusreid.org/covid19-mental-health/ · DOI
- Bailey D E, Kurland N B (2002) A review of telework research: findings, new directions, and lessons for the study of modern work. J Organ Behav Int Ind Occup Organ Psychol Behav 23(4):383–400
- Baker E, Avery GC, Crawford J (2007) Satisfaction and perceived productivity when professionals work from home. Res Pract Hum Resour Manag 15 (1):37–62
- Baltes S, Diehl S (2018) Towards a theory of software development expertise. In: Leavens G T, Garcia A, Pasareanu C S (eds) Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2018. ACM Lake Buena Vista, pp 187–200. https://doi.org/10.1145/3236024.3236061 · DOI
- Baltes S, Ralph P (2020) Sampling in software engineering research: A critical review and guidelines. arXiv:2002.07764 · arXiv
- Bao L, Li T, Xia X, Zhu K, Li H, Yang X (2020) How does working from home affect developer productivity? a case study of baidu during covid-19 pandemic. arXiv:2005.13167 · arXiv
- Baruch Y (1996) Self performance appraisal vs direct-manager appraisal: a case of congruence. J Manag Psychol 11(6):50–65. https://doi.org/10.1108/02683949610129758 · DOI
- Baruch Y (2000) Teleworking: benefits and pitfalls as perceived by professionals and managers. Technol Work Employment 15(1):34–49 · DOI · Paper page
- Blake K D, Blendon R J, Viswanath K (2010) Employment and compliance with pandemic influenza mitigation recommendations. Emerg Infect Diseas 16(2):212 · DOI
- Bracha H S, Burkle F M (2006) Utility of fear severity and individual resilience scoring as a surge capacity, triage management tool during large-scale, bio-event disasters. Prehospital Disast Med 21(5):290–296 · DOI
- Brug J, Aro A R, Oenema A, De Zwart O, Richardus J H, Bishop G D (2004) Sars risk perception, knowledge, precautions, and information sources, the netherlands. Emerg Infect Diseas 10(8):1486 · DOI · Paper page
- Cascio W F (2000) Managing a virtual workplace. Acad Manag Perspect 14(3):81–90 · DOI · Paper page
- Dall’Ora C, Ball J, Recio-Saucedo A, Griffiths P (2016) Characteristics of shift work and their impact on employee performance and wellbeing: a literature review. Int J Nurs Stud 57:12–27 · DOI · Paper page
- Davenport T H, Pearlson K (1998) Two cheers for the virtual office. MIT Sloan Manag Rev 39(4):51
- Donnelly N, Proctor-Thomson S B (2015) Disrupted work: home-based teleworking (hbtw) in the aftermath of a natural disaster. Technol Work Employment 30(1):47–61 · DOI
- Evers K E, Castle P H, Prochaska J O, Prochaska J M (2014) Examining relationships between multiple health risk behaviors, well-being, and productivity. Psychol Rep 114(3):843–853 · DOI
- Fisher J R, Tran T D, Hammargerg K, Sastry J, Nguyen H, Rowe H, Popplestone S, Stocker R, Stubber C, Kirkman M et al (2020) Mental health of people in Australia in the first month of COVID-19 restrictions: a national survey. The Medical Journal of Australia. https://www.mja.com.au/journal/2020/mental-health-people-australia-first-month-covid-19-restrictions-restrictionsnational-survey · DOI · Paper page
- Flora D B, Curran P J (2004) An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol Methods 9(4):466 · DOI · Paper page
- Furia C A, Feldt R, Torkar R (2019) Bayesian data analysis in empirical software engineering research. IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2019.2935974 · DOI · Paper page
- Goodhart CAE (1984) Monetary Theory and Practice: The UK Experience. Macmillan Press · DOI · Paper page
- Graziotin D, Wang X, Abrahamsson P (2015) How do you feel, developer? an explanatory theory of the impact of affects on programming performance. PeerJ Comput Sci 1:e18 · DOI
- Graziotin D, Fagerholm F, Wang X, Abrahamsson P (2017) Consequences of unhappiness while developing software. In: 2017 IEEE/ACM 2Nd international workshop on emotion awareness in software engineering (SEmotion). IEEE, pp 42–47 · DOI
- Graziotin D, Fagerholm F (2019) Happiness and the productivity of software engineers. In: Sadowski C, Zimmermann T (eds) Apress open / Springer, pp 109–124. https://doi.org/10.1007/978-1-4842-4221-6_10 · DOI
- Hu L, Bentler P M (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model Multidiscip J 6(1):1–55. https://doi.org/10.1080/10705519909540118 · DOI · Paper page
- Hyman J, Baldry C, Scholarios D, Bunzel D (2003) Work–life imbalance in call centres and software development. Br J Ind Relat 41(2):215–239 · DOI
- Inalhan G, Ng C F (2010) Teleworker’s home office: an extension of corporate office? Facilities 28(3/4):137–155 · DOI
- Jaspan C, Sadowski C (2019) No single metric captures productivity. In: Sadowski C, Zimmermann T (eds) Rethinking Productivity in Software Engineering. Apress open / Springer, pp 13–20. https://doi.org/10.1007/978-1-4842-4221-6_2 · DOI · Paper page
- Kessler R C, Barber C, Beck A, Berglund P, Cleary P D, McKenas D, Pronk N, Simon G, Stang P, Ustun T B et al (2003) The world health organization health and work performance questionnaire (HPQ). J Occup Environ Med 45(2):156–174 · DOI · Paper page
- Kim Y, Zhong W, Jehn M, Walsh L (2015) Public risk perceptions and preventive behaviors during the 2009 h1n1 influenza pandemic. Disaster Med Publ Health Prepared 9(2):145–154 · DOI
- Ko AJ (2019) Why we should not measure productivity. In: Sadowski C, Zimmermann T (eds) Rethinking Productivity in Software Engineering. https://doi.org/10.1007/978-1-4842-4221-6_3. Apress open / Springer, pp 21–26 · DOI
- Lavelle J (2020) Gartner CFO survey reveals 74% intend to shift some employees to remote work permanently. https://www.gartner.com/en/newsroom/press-releases/2020-04-03-gartner-cfo-surey-reveals-74-percent-of-organizations-to-shift-some-employees-to-remote-work-permanently2
- Madhav N, Oppenheim B, Gallivan M, Mulembakani P, Rubin E, Wolfe N (2017) Pandemics: risks, impacts, and mitigation. In: Jamison, D. et al. (eds.) Disease Control Priorities, ch. 17. https://doi.org/10.1596/978-1-4648-0527-1_ch17 · DOI · Paper page
- McInerney C R (1999) Working in the virtual office: Providing information and knowledge to remote workers. Library Inf Sci Res 21(1):69–89 · DOI
- McLeod L, MacDonell S G (2011) Factors that affect software systems development project outcomes: a survey of research. ACM Comput Surv (CSUR) 43 (4):1–56 · DOI
- North C S, Pfefferbaum B, Hong B A, Gordon M R, Kim Y S, Lind L, Pollio D E (2010) The business of healing: Focus group discussions of readjustment to the post-9/11 work environment among employees of affected agencies. J Occup Environ Med 52(7):713–718 · DOI
- Pérez MP, Sánchez AM, de Luis Carnicer P, Jiménez MJV (2004) A technology acceptance model of innovation adoption: the case of teleworking. Eur J Innov Manag 7(4):280–291. https://doi.org/10.1108/14601060410565038 · DOI
- Perry S J, Rubino C, Hunter E M (2018) Stress in remote work: two studies testing the demand-control-person model. Eur J Work Organ Psychol 27 (5):577–593 · DOI · Paper page
- Prati G, Pietrantoni L, Zani B (2011) A social-cognitive model of pandemic influenza h1n1 risk perception and recommended behaviors in italy. Risk Anal Int J 31(4):645–656 · DOI
- Roberto AJ, Goodall CE, Witte K (2009) Raising the alarm and calming fears: Perceived threat and efficacy during risk and crisis. In: Handbook of risk and crisis communication. Routledge, pp 287–303
- Ronan K R, Alisic E, Towers B, Johnson V A, Johnston D M (2015) Disaster preparedness for children and families: a critical review. Curr Psych Rep 17(7):58 · DOI
- Rönkkö M, Evermann J (2013) A critical examination of common beliefs about partial least squares path modeling. Organ Res Methods 16(3):425–448 · DOI · Paper page
- Russell H, O’Connell P J, McGinnity F (2009) The impact of flexible working arrangements on work–life conflict and work pressure in Ireland. Gender Work Organ 16(1):73–97 · DOI · Paper page
- Storey M A, Zimmermann T, Bird C, Czerwonka J, Murphy B, Kalliamvakou E (2019) Towards a theory of software developer job satisfaction and perceived productivity. IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2019.2944354 · DOI · Paper page
- Teasdale E, Yardley L, Schlotz W, Michie S (2012) The importance of coping appraisal in behavioural responses to pandemic flu. Brit J Health Psychol 17(1):44–59 · DOI
- Thommes E, Cojocaru M, Athar S (2016) Absenteeism impact on local economy during a pandemic via hybrid sir dynamics. In: International Conference on Dynamics of Disasters, Springer, pp 309–328
- Wrobel M R (2013) Emotions in the software development process. In: 6th international conference on human system interactions (HSI). IEEE, pp 518–523 · DOI
- Xiang Y T, Zhao Y J, Liu Z H, Li X H, Zhao N, Cheung T, Ng C H (2020) The COVID-19 outbreak and psychiatric hospitals in china: managing challenges through mental health service reform. Int J Biol Sci 16(10):1741 · DOI · Paper page
- Yong A G, Lemyre L, Pinsent C, Krewski D (2017) Risk perception and disaster preparedness in immigrants and Canadian-born adults: Analysis of a national survey on similarities and differences. Risk Anal 37(12):2321–2333 · DOI
- Yong A G, Lemyre L (2019) Getting canadians prepared for natural disasters: a multi-method analysis of risk perception, behaviors, and the social environment. Nat Hazards 98(1):319–341 · DOI
Cited by
The SPACE of Developer Productivity: There's more to it than you think.
Forsgren, N., Storey, M.-A., Maddila, C., Zimmermann, T., Houck, B., & Butler, J. (2021) · Queue · doi:10.1145/3454122.3454124 · Cited by 164
Das, M., Tang, J., Ringland, K. E., & Piper, A. M. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449282 · Cited by 142
The Emotional Roller Coaster of Responding to Requirements Changes in Software Engineering
Madampe, K., Hoda, R., & Grundy, J. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3172925 · Cited by 33
Self-citationA Framework for Emotion-Oriented Requirements Change Handling in Agile Software Engineering
Madampe, K., Hoda, R., & Grundy, J. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2023.3253145 · Cited by 32
Self-citationBrooks, S. K., Hall, C. E., Patel, D., & Greenberg, N. (2022) · BMC Psychology · doi:10.1186/s40359-022-00970-x · Cited by 26
Akter, T., Cha, Y., Figueira, I., Branham, S. M., & Piper, A. M. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3597638.3608420 · Cited by 24
The SPACE of developer productivity
Forsgren, N., Storey, M.-A., Maddila, C., Zimmermann, T., Houck, B., & Butler, J. (2021) · Communications of the ACM · doi:10.1145/3453928 · Cited by 21
Metadata
- Authors
- Ralph, P., Baltes, S., Adisaputri, G., Torkar, R., Kovalenko, V., Kalinowski, M., Novielli, N., Yoo, S., Devroey, X., Tan, X., Zhou, M., Turhan, B., Hoda, R., Hata, H., Robles, G., Milani Fard, A., & Alkadhi, R.
- Venue
- Empirical Software Engineering
- Published
- 2020-09-14
- Volume
- 25
- Issue
- 6
- Pages
- 4927-4961
- ISSN
- 1382-3256 (ISSN-L)
- 1573-7616
- OpenAlex
- W4288079797
- Cited by
- 269
- References
- 7
- FWCI
- 60.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- Natural Sciences and Engineering Research Council of Canada Grant (RGPIN-2020-05001)
- Government of Spain (RTI2018-101963-B-100)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.