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Identify Javascript Trends in Crowdsourcing Small Tasks

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Evaluation of Novel Approaches to Software Engineering (ENASE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1829))

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Abstract

A popular alternative non-conventional model for software development is crowdsourcing, which aims at decomposing software project into tasks that assigns them to individual stakeholders, through an open call for participation. A major challenge is to ensure community participation in developing high-quality solutions by each individual stakeholder. It is of high importance to be aware of the skills that can be acquired by the crowd, especially in cases of constantly evolving development environments, such as the JavaScript programming language and its applications. In the current paper, we aim at exploring trends in crowdsourcing JavaScript small tasks as an attempt to unveil a) popularity as the core technological skills and the functionalities that are more frequently crowdsourced, b) success as the relationship between the technological skills and the functionalities crowdsourced, and d) the monetary reward differences between these technological skills and the functionalities relationships. We have analyzed contest data collected from the Bountify crowdsourcing platform, resulting that while JavaScript small task development focuses on multiple technologies, frameworks, and libraries, that frequently overlap or complement each other, popularity, success, and monetary reward of the latter, in most cases are not associated.

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Notes

  1. 1.

    https://github.com/zozas/Bountify.

References

  1. Alt, F., Shirazi, A., Schmidt, A., Kramer, U., Nawaz, Z.: Location-based crowdsourcing: extending crowdsourcing to the real world. In: 6th Nordic Conf. on Human-Computer Interaction, Association for Computing Machinery, NY, USA, pp. 13–22 (2010)

    Google Scholar 

  2. Archak, N.: Money, glory and cheap talk: Analyzing strategic behavior of contestants in simultaneous crowdsourcing contests on TopCoder.com. In: 19th International Conference on WWW, NY, USA, pp. 21–30 (2010)

    Google Scholar 

  3. Bibi, S., Zozas, I., Ampatzoglou, A., Sarigiannidis, P.G., Kalampokis, G., Stamelos, I.: Crowdsourcing in software development. IEEE Access 8, 58094–58117 (2020)

    Google Scholar 

  4. Boutsis, I., Kalogeraki, V.: On task assignment for real-time reliable crowdsourcing. In:  IEEE 34th International Conference on Distributed Computing Systems, Spain, pp. 1–10 (2014)

    Google Scholar 

  5. Chatzimparmpas, A., Bibi, S., Zozas, I., Kerren, A.: Analyzing the evolution of javascript applications. In: 14th International Conference on Evaluation of Novel Approaches to Software Engineering, vol. 1, pp. 359–366 (2019)

    Google Scholar 

  6. Delcev, S., Draskovic, D.: Modern javascript frameworks: a survey study. In: Zooming Innovation in Consumer Technologies Conference, Serbia, pp. 106–109 (2018)

    Google Scholar 

  7. Difallah, D., Catasta, M., Demartini, G., Ipeirotis, P., Cudré-Mauroux, P.: The dynamics of micro-task crowdsourcing: the case of Amazon MTurk. In: 24th International  Conference on WWW, Switzerland, pp. 238–247 (2015)

    Google Scholar 

  8. Gude, S., Hafiz, M., Wirfs-Brock, A.: JavaScript: the used parts. In: IEEE 38th Annual Computer Software and Applications Conference, Sweden, pp. 466–475, (2014)

    Google Scholar 

  9. Guittard, C., Schenk, E., Burger-, T.: Crowdsourcing and the evolution of a business ecosystem. In: Garrigos, F.J., Gil-, I., Estelles, S. (eds.) Advances in Crowdsourcing, pp. 49–62. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18341-1_4

  10. Hetmank, L.: Components and functions of crowdsourcing systems – a systematic literature review. In: Wirtschaftsinformatik Proceedings, vol. 4 (2013)

    Google Scholar 

  11. 1061–1998: IEEE Standard for a Software Quality Metrics Methodology, IEEE Standards, IEEE Computer Society, 31 December 1998 (reaf. 9 December 2009), (Accessed 21 July 2022)

    Google Scholar 

  12. Kittur, A., Chi, E., Suh, B.: Crowdsourcing user studies with Mechanical Turk. In: Conference on Human Factors in Computing Systems, NY, USA, pp. 453–456 (2008)

    Google Scholar 

  13. Kittur, A., et al.: The future of crowd work. Conference on Computer supported cooperative work, pp. 1301–1318. Association for Computing Machinery, NY, USA (2013)

    Google Scholar 

  14. Lakhani, K., Garvin, D., Lonstein, E.: TopCoder(A): Developing software through crowdsourcing. Harvard Business School Case (2010)

    Google Scholar 

  15. LaToza, T., Van der Hoek, A.: Crowdsourcing in software engineering: models, motivations, and challenges, IEEE Softw. 33(1), 74–80 (2016)

    Google Scholar 

  16. Machado, M., Zanatta, A., Marczack, S., Prikladnicki, R.: The good, the bad and the ugly: an onboard journey in software crowdsourcing competitive model. In: 4th International Workshop on Crowd Sourcing in Software Engineering, Buenos Aires, Argentina, pp. 2–8 (2017)

    Google Scholar 

  17. Mao, K., Capra, L., Harman, M., Jia, Y.: A survey of the use of crowdsourcing in software engineering. J. Syst. Softw. 126, 57–84 (2017)

    Article  Google Scholar 

  18. Meldrum, S., Licorish, S., Savarimuthu, B. Crowdsourced knowledge on stack overflow. In: 21st International Conference on Evaluation and Assessment in Software Engineering. Association for Computing Machinery, NY, USA, pp. 180–185 (2017)

    Google Scholar 

  19. Papoutsoglou, M., Mittas, N., Angelis, L.: Mining people analytics from stackoverflow job advertisements. In: 43rd Euromicro Conference on Software Engineering and Advanced Applications, Austria, pp. 108–115 (2017)

    Google Scholar 

  20. Rauschmayer, A.: The Past, Present, and Future of JavaScript. O'Reilly Media, Inc. (2012)

    Google Scholar 

  21. Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14, 131 (2009)

    Article  Google Scholar 

  22. Sharma R., Sood M. Cloud SaaS: Models and Transformation. Advances in Digital Image Processing and Information Technology. CCIS, vol 205. Springer (2011). https://doi.org/10.1007/978-3-642-24055-3

  23. Snook, S., Gorsuch, R.: Principal component analysis versus common factor analysis: A Monte Carlo study. Psychol. Bull. 106, 148–154 (1989)

    Article  Google Scholar 

  24. Sun, K., Ryu, S.: Analysis of javaScript programs: challenges and research trends. ACM Comput. Surv. 50(4), Article 59, 34 (2017)

    Google Scholar 

  25. Tong, Y., Chen, L., Zhou, Z., Jagadish, H.V., Shou, L., Lv, W.: SLADE: A smart large-scale task decomposer in crowdsourcing. In: 35th IEEE International Conference on Data Engineering, ICDE Macau, China, pp. 2133–2134 (2019)

    Google Scholar 

  26. Wang, H., Wang, Y., Wang, J.: A participant recruitment framework for crowdsourcing-based software requirement acquisition. In: 9th IEEE International Conference on Global Software Engineering, pp. 65–73 (2014)

    Google Scholar 

  27. Weidema, E., López, C., Nayebaziz, S., Spanghero, G., Van der Hoek, A.: Toward microtask crowdsourcing software design work. In: 3rd International Workshop on Crowd Sourcing in Software Engineering, NY, USA, vol. 2016, pp. 41–44 (2016)

    Google Scholar 

  28. Yuen, M., King, I., Leung, K.: A survey of crowdsourcing systems. In: 3rd International Conference on Privacy, Security, Risk & Trust, MA, USA, pp. 766–773 (2011)

    Google Scholar 

  29. Zanatta, A., Machado, L., Steinmacher, I.: Competence, collaboration, and time management: barriers and recommendations for crowdworkers. In: 5th International Workshop on Crowd Sourcing in Software Engineering (CSI-SE), Gothenburg, Sweden, 9–16, (2018)

    Google Scholar 

  30. Zozas, I., Anagnostou, I., Bibi, S.: Trends on crowdsourcing javascript small tasks. ENASE 2022, 85–94 (2022)

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece

    Ioannis Zozas, Iason Anagnostou & Stamatia Bibi

Authors
  1. Ioannis Zozas
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  2. Iason Anagnostou
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  3. Stamatia Bibi
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Corresponding author

Correspondence to Ioannis Zozas .

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Editors and Affiliations

  1. TU Wien, Vienna, Austria

    Hermann Kaindl

  2. Glasgow Caledonian University, Glasgow, UK

    Mike Mannion

  3. Wroclaw University of Economics, Wroclaw, Poland

    Leszek A. Maciaszek

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Zozas, I., Anagnostou, I., Bibi, S. (2023). Identify Javascript Trends in Crowdsourcing Small Tasks. In: Kaindl, H., Mannion, M., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2022. Communications in Computer and Information Science, vol 1829. Springer, Cham. https://doi.org/10.1007/978-3-031-36597-3_9

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  • DOI: https://doi.org/10.1007/978-3-031-36597-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36596-6

  • Online ISBN: 978-3-031-36597-3

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