Skip to main content
Springer Nature Link
Log in

The Evolution of Developer Work Rhythms

An Analysis Using Signal Processing Techniques

  • Conference paper
  • First Online:
Social Informatics (SocInfo 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11185))

Included in the following conference series:

Abstract

We study the evolution of the work rhythms of software developers. We gather datasets and controls from GitHub, a prominent site among developers, and, with the help of signal processing techniques, we observe two temporal phenomena in the daily patterns (waveforms) related to daily work rhythms: regularization and precession. More regular daily work patterns, and earlier-in-the-day work patterns both appear in parallel to developers spending time in GitHub.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://developer.github.com/v3/.

  2. 2.

    For each time step n, a logical OR between sequences \((M_{n}^{p})_{p\in Q}\) is applied.

  3. 3.

    http://pilot.cnxproject.org/content/collection/col10064/latest/module/m34847/latest.

  4. 4.

    https://ccrma.stanford.edu/~jos/mdft/Spectrograms.html.

  5. 5.

    https://ccrma.stanford.edu/~jos/sasp/Hamming_Window.html.

  6. 6.

    There are 144 periods of 10 min in one day and 1008 in one week.

  7. 7.

    Given by: \(\frac{1}{144}\sum \limits _{n=0}^{143} (D_{Z,n}^{Q})^{2}\).

References

  1. Aledavood, T., Lehmann, S., Saramäki, J.: Digital daily cycles of individuals. Front. Phys. 3, 73 (2015). https://doi.org/10.3389/fphy.2015.00073

    Article  Google Scholar 

  2. Aledavood, T., Lehmann, S., Saramäki, J.: Social network differences of chronotypes identified from mobile phone data. ArXiv e-prints, September 2017. http://adsabs.harvard.edu/abs/2017arXiv170906690A

  3. Bannai, A., Tamakoshi, A.: The association between long working hours and health: a systematic review of epidemiological evidence. Scand. J. Work Environ. Health 1, 5–18 (2014). https://doi.org/10.5271/sjweh.3388. http://www.sjweh.fi/show_abstract.php?abstract_id=3388

    Article  Google Scholar 

  4. Begole, J.B., Tang, J.C., Smith, R.B., Yankelovich, N.: Work rhythms: analyzing visualizations of awareness histories of distributed groups. In: Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work, CSCW 2002, pp. 334–343. ACM, New York (2002). https://doi.org/10.1145/587078.587125

  5. Claes, M., Mäntylä, M., Kuutila, M., Adams, B.: Abnormal working hours: effect of rapid releases and implications to work content. CoRR abs/1704.03652 (2017). http://arxiv.org/abs/1704.03652

  6. Claes, M., Mäntylä, M.V., Kuutila, M., Adams, B.: Do programmers work at night or during the weekend? In: Proceedings of the 40th International Conference on Software Engineering, ICSE 2018, pp. 705–715. ACM, New York (2018). https://doi.org/10.1145/3180155.3180193

  7. Dabbish, L., Stuart, C., Tsay, J., Herbsleb, J.: Social coding in GitHub: transparency and collaboration in an open software repository. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, CSCW 2012, pp. 1277–1286. ACM, New York (2012). https://doi.org/10.1145/2145204.2145396

  8. Dalle, J.M., Daudet, L., Besten, M.: Mining CVS Signals. In: Workshop on Public Data About Software Development. Como in Italy, July 2006

    Google Scholar 

  9. Eyolfson, J., Tan, L., Lam, P.: Do time of day and developer experience affect commit bugginess? In: Proceedings of the 8th Working Conference on Mining Software Repositories, MSR 2011, pp. 153–162. ACM, New York (2011). https://doi.org/10.1145/1985441.1985464

  10. Greubel, J., Arlinghaus, A., Nachreiner, F., Lombardi, D.A.: Higher risks when working unusual times? a cross-validation of the effects on safety, health, and work–life balance. Int. Arch. Occup. Environ. Health 89(8), 1205–1214 (2016). https://doi.org/10.1007/s00420-016-1157-z

    Article  Google Scholar 

  11. Guzman, E., Azócar, D., Li, Y.: Sentiment analysis of commit comments in GitHub: an empirical study. In: Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp. 352–355. ACM, New York (2014). https://doi.org/10.1145/2597073.2597118

  12. Hall, J.C., Rosbash, M., Young, M.W.: The 2017 nobel prize in physiology or medicine. https://www.nobelprize.org/nobel_prizes/medicine/laureates/2017/press.html

  13. Harris, F.J.: On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE 66(1), 51–83 (1978). https://doi.org/10.1109/PROC.1978.10837

    Article  Google Scholar 

  14. Markovtsev, V.: Daily commit activity on GitHub (2017). https://blog.sourced.tech/post/activity_hours/

  15. O., S.J.: Mathematics of the Discrete Fourier Transform (DFT). W3K Publishing (2007). http://www.w3k.org/books/

  16. Robinson, D.: What programming languages are used late at night? (2017). https://stackoverflow.blog/2017/04/19/programming-languages-used-late-night/

  17. Shmilovitz, D.: On the definition of total harmonic distortion and its effect on measurement interpretation. IEEE Trans. Power Deliv. 20(1), 526–528 (2005). https://doi.org/10.1109/TPWRD.2004.839744

    Article  Google Scholar 

  18. Chapter I: The time-frequency approach: essence and terminology\(^{0}\). In: Boashash, B. (ed.) Time-Frequency Signal Analysis and Processing (Second Edition), 2nd edn., pp. 3–29. Academic Press, Oxford (2016). https://doi.org/10.1016/B978-0-12-398499-9.09991-X, https://www.sciencedirect.com/science/article/pii/B978012398499909991X

  19. Teller, S.: Why programmers work at night? (2014). https://leanpub.com/nightowls/read

  20. ten Thij, M., Kampstra, P., Bhulai, S.: Circadian patterns in Twitter. In: Laux, F., Pardalos, P., Crolotte, A. (eds.) 3rd International Conference, IARIA Data Analytics 2014, Rome, Italy, 24–28 August 2014, Proceedings, pp. 12–17. IARIA (2014)

    Google Scholar 

  21. Tsay, J., Dabbish, L., Herbsleb, J.: Influence of social and technical factors for evaluating contribution in GitHub. In: Proceedings of the 36th International Conference on Software Engineering, ICSE 2014, pp. 356–366. ACM, New York (2014). https://doi.org/10.1145/2568225.2568315

  22. Wang, X., et al.: Exploring scientists’ working timetable: Do scientists often work overtime? CoRR abs/1208.2686 (2012). http://arxiv.org/abs/1208.2686

    Article  Google Scholar 

  23. Yasseri, T., Sumi, R., Kertsz, J.: Circadian patterns of wikipedia editorial activity: a demographic analysis. PLOS ONE 7(1), 1–8 (2012). https://doi.org/10.1371/journal.pone.0030091

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. École Normale Supérieure de Rennes, Rennes, France

    Benjamin Traullé

  2. Télécom ParisTech, Paris, France

    Benjamin Traullé

  3. Sorbonne Université, Paris, France

    Jean-Michel Dalle

  4. Oxford Internet Institute, Oxford, OX1 3JS, UK

    Jean-Michel Dalle

Authors
  1. Benjamin Traullé
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jean-Michel Dalle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Benjamin Traullé .

Editor information

Editors and Affiliations

  1. University of Koblenz, Koblenz, Germany

    Steffen Staab

  2. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  3. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Traullé, B., Dalle, JM. (2018). The Evolution of Developer Work Rhythms. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11185. Springer, Cham. https://doi.org/10.1007/978-3-030-01129-1_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01129-1_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01128-4

  • Online ISBN: 978-3-030-01129-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics