Page 76 - 《软件学报》2026年第7期
P. 76
王璐瑶 等: 面向 Discord 平台的开源软件实践者沟通实证研究 2761
[11] Storey MA, Singer L, Cleary B, Filho FF, Zagalsky A. The (r)evolution of social media in software engineering. In: Proc. of the 2014
Future of Software Engineering (FOSE 2014). Hyderabad: ACM, 2014. 100–116. [doi: 10.1145/2593882.2593887]
[12] Storey MA, Zagalsky A, Filho FF, Singer L, German DM. How social and communication channels shape and challenge a participatory
culture in software development. IEEE Trans. on Software Engineering, 2017, 43(2): 185–204. [doi: 10.1109/tse.2016.2584053]
[13] Shihab E, Jiang ZM, Hassan AE. Studying the use of developer IRC meetings in open source projects. In: Proc. of the 2009 IEEE Int’l
Conf. on Software Maintenance. Edmonton: IEEE, 2009. 147–156. [doi: 10.1109/ICSM.2009.5306333]
[14] Parra E, Alahmadi M, Ellis A, Haiduc S. A comparative study and analysis of developer communications on Slack and Gitter. Empirical
Software Engineering, 2022, 27(2): 40. [doi: 10.1007/s10664-021-10095-1]
[15] Chatterjee P, Damevski K, Pollock L, Augustine V, Kraft NA. Exploratory study of slack Q&A chats as a mining source for software
engineering tools. In: Proc. of the 16th IEEE/ACM Int’l Conf. on Mining Software Repositories (MSR 2019). Montreal: IEEE, 2019.
490–501. [doi: 10.1109/MSR.2019.00075]
[16] Parra E, Ellis A, Haiduc S. GitterCom—A dataset of open source developer communications in Gitter. In: Proc. of the 17th Int’l Conf.
on Mining Software Repositories (MSR 2020). Seoul: IEEE, 2020. 563–567. [doi: 10.1145/3379597.3387494]
[17] Ehsan O, Hassan S, Mezouar ME, Zou Y. An empirical study of developer discussions in the Gitter platform. ACM Trans. on Software
Engineering and Methodology (TOSEM), 2020, 30(1): 8. [doi: 10.1145/3412378]
[18] Shi L, Chen X, Yang Y, Jiang HZ, Jiang ZY, Niu N, Wang Q. A first look at developers’ live chat on Gitter. In: Proc. of the 29th ACM
Joint Meeting on European Software Engineering Conf. and Symp. on the Foundations of Software Engineering (ESEC/FSE 2021).
Athens: ACM, 2021. 391–403. [doi: 10.1145/3468264.3468562]
[19] Stray V, Moe NB, Noroozi M. Slack me if you can! Using enterprise social networking tools in virtual agile teams. In: Proc. of the 14th
ACM/IEEE Int’l Conf. on Global Software Engineering (ICGSE 2019). Montreal: IEEE, 2019. 111–121. [doi: 10.1109/ICGSE.2019.
00031]
[20] Sahar H, Hindle A, Bezemer CP. How are issue reports discussed in Gitter chat rooms? Journal of Systems and Software, 2021, 172:
110852. [doi: 10.1016/j.jss.2020.110852]
[21] Lin B, Zagalsky A, Storey MA, Serebrenik A. Why developers are slacking off: Understanding how software teams use slack. In: Proc.
of the 19th ACM Conf. on Computer Supported Cooperative Work and Social Computing Companion. San Francisco: ACM, 2016.
333–336. [doi: 10.1145/2818052.2869117]
[22] Jiang JA, Kiene C, Middler S, Brubaker JR, Fiesler C. Moderation challenges in voice-based online communities on Discord. Proc. of
the ACM on Human-computer Interaction, 2019, 3: 55. [doi: 10.1145/3359157]
[23] Robinson B. Governance on, with, behind, and beyond the Discord platform: A study of platform practices in an informal learning
context. Learning, Media and Technology, 2023, 48(1): 81–94. [doi: 10.1080/17439884.2022.2052312]
[24] Raglianti M, Nagy C, Minelli R, Lanza M. DiscOrDance: Visualizing software developers communities on Discord. In: Proc. of the
2022 IEEE Int’l Conf. on Software Maintenance and Evolution (ICSME 2022). Limassol: IEEE, 2022. 474–478. [doi: 10.1109/
ICSME55016.2022.00062]
[25] Raglianti M, Nagy C, Minelli R, Lanza M. Using Discord conversations as program comprehension aid. In: Proc. of the 30th
IEEE/ACM Int’l Conf. on Program Comprehension (ICPC 2022). Pittsburgh: IEEE, 2022. 597–601. [doi: 10.1145/3524610.3528388]
[26] Lill A, Meyer AN, Fritz T. On the helpfulness of answering developer questions on Discord with similar conversations and posts from
the past. In: Proc. of the 46th IEEE/ACM Int’l Conf. on Software Engineering (ICSE 2024). Lisbon: IEEE, 2024. 691–703.
[27] Subash KM, Kumar LP, Vadlamani SL, Chatterjee P, Baysal O. DISCO: A dataset of Discord chat conversations for software
engineering research. In: Proc. of the 19th Int’l Conf. on Mining Software Repositories (MSR 2022). Pittsburgh: IEEE, 2022. 227–231.
[doi: 10.1145/3524842.3528018]
[28] Lebeuf C, Storey MA, Zagalsky A. How software developers mitigate collaboration friction with chatbots. arXiv:1702.07011, 2017.
[29] Chen YQ, Wan ZY, Zhuang YF, Liu N, Lo D, Yang XH. Understanding the OSS communities of deep learning frameworks: A
comparative case study of PyTorch and TensorFlow. ACM Trans. on Software Engineering and Methodology, 2025, 34(3): 70. [doi: 10.
1145/3705303]
[30] Wan ZY, Xia X, Zhang Y, Lo D, Zhou DB, Chen QY, Hassan AE. What motivates software practitioners to contribute to inner source?
In: Proc. of the 30th ACM Joint European Software Engineering Conf. and Symp. on the Foundations of Software Engineering
(ESEC/FSE 2022). Singapore: ACM, 2022. 132–144. [doi: 10.1145/3540250.3549148]
[31] Kummerfeld JK, Gouravajhala SR, Peper JJ, Athreya V, Gunasekara C, Ganhotra J, Patel SS, Polymenakos LC, Lasecki W. A large-
scale corpus for conversation disentanglement. In: Proc. of the 57th Annual Meeting of the Association for Computational Linguistics.
Florence: ACL, 2019. 3846–3856. [doi: 10.18653/v1/P19-1374]

