Page 77 - 《软件学报》2026年第7期

2762 软件学报 2026 年第 37 卷第 7 期

[32] Shi L, Xing MZ, Li MY, Wang YW, Li SB, Wang Q. Detection of hidden feature requests from massive chat messages via deep
Siamese network. In: Proc. of the 42nd ACM/IEEE Int’l Conf. on Software Engineering (ICSE 2020). Seoul: IEEE, 2020. 641–653.
[33] Qu C, Yang L, Croft WB, Zhang YF, Trippas JR, Qiu MH. User intent prediction in information-seeking conversations. In: Proc. of the
2019 Conf. on Human Information Interaction and Retrieval. Glasgow: ACM, 2019. 25–33. [doi: 10.1145/3295750.3298924]
[34] Cruzes DS, Dyba T. Recommended steps for thematic synthesis in software engineering. In: Proc. of the 2011 Int’l Symp. on Empirical
Software Engineering and Measurement. Banff: IEEE, 2011. 275–284. [doi: 10.1109/ESEM.2011.36]
[35] LaToza TD, Venolia G, DeLine R. Maintaining mental models: A study of developer work habits. In: Proc. of the 28th Int’l Conf. on
Software Engineering (ICSE 2006). Shanghai: ACM, 2006. 492–501. [doi: 10.1145/1134285.1134355]
[36] Krippendorff K. Content Analysis: An Introduction to Its Methodology. Beverly Hills: SAGE Publications, 2004.
[37] Artstein R, Poesio M. Inter-coder agreement for computational linguistics. Computational Linguistics, 2008, 34(4): 555–596. [doi: 10.
1162/coli.07-034-R2]
[38] Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 1960, 20(1): 37–46. [doi: 10.1177/
001316446002000104]
[39] Paparrizos J, Gravano L. k-Shape: Efficient and accurate clustering of time series. In: Proc. of the 2015 ACM SIGMOD Int’l Conf. on
Management of Data. Melbourne: ACM, 2015. 1855–1870. [doi: 10.1145/2723372.2737793]
[40] Kralj Novak P, Smailović J, Sluban B, Mozetič I. Sentiment of emojis. PLoS One, 2015, 10(12): e0144296. [doi: 10.1371/journal.pone.
0144296]
[41] Fang HB, Lamba H, Herbsleb J, Vasilescu B. “This is damn slick!” estimating the impact of tweets on open source project popularity
and new contributors. In: Proc. of the 44th Int’l Conf. on Software Engineering (ICSE 2022). Pittsburgh: IEEE, 2022. 2116–2129. [doi:
10.1145/3510003.3510121]
[42] Gelman A, Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press, 2007.
[43] Snijders TAB, Bosker RJ. An Introduction to Basic and Advanced Multilevel Modeling. Beverly Hills: SAGE Publications, 1999.
[44] Bissyandé TF, Lo D, Jiang LX, Réveillère L, Klein J, Le Traon Y. Got issues? Who cares about it? A large scale investigation of issue
trackers from GitHub. In: Proc. of the 24th IEEE Int’l Symp. on Software Reliability Engineering (ISSRE 2013). Pasadena: IEEE, 2013.
188–197. [doi: 10.1109/ISSRE.2013.6698918]
[45] Hata H, Novielli N, Baltes S, Kula RG, Treude C. GitHub discussions: An exploratory study of early adoption. Empirical Software
Engineering, 2022, 27(1): 3. [doi: 10.1007/S10664-021-10058-6]
[46] Bates D, Maechler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 2015, 67(1):
1–48. [doi: 10.18637/jss.v067.i01]
[47] Shepperd M, Bowes D, Hall T. Researcher bias: The use of machine learning in software defect prediction. IEEE Trans. on Software
Engineering, 2014, 40(6): 603–616. [doi: 10.1109/TSE.2014.2322358]
[48] Hassan S, Tantithamthavorn C, Bezemer CP, Hassan AE. Studying the dialogue between users and developers of free Apps in the
Google play store. Empirical Software Engineering, 2018, 23(3): 1275–1312. [doi: 10.1007/s10664-017-9538-9]
[49] Harrell Jr FE. Hmisc: Harrell Miscellaneous. 2019. https://CRAN.R-project.org/package=Hmisc
[50] Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed., New York: Routledge, 2013. [doi: 10.4324/9780203771587]
[51] Hosmer Jr DW, Lemeshow S, Sturdivant RX. Applied Logistic Regression. Hoboken: John Wiley & Sons, 2013.
[52] Lu Y, Mao XJ, Zhou MH, Zhang Y, Wang T, Li ZD. Haste makes waste: An empirical study of fast answers in Stack Overflow. In:
Proc. of the 2020 IEEE Int’l Conf. on Software Maintenance and Evolution (ICSME 2020). Adelaide: IEEE, 2020. 23–34. [doi: 10.1109/
ICSME46990.2020.00013]
[53] Calefato F, Lanubile F, Novielli N. How to ask for technical help? Evidence-based guidelines for writing questions on Stack Overflow.
Information and Software Technology, 2018, 94: 186–207. [doi: 10.1016/j.infsof.2017.10.009]
[54] Ponzanelli L, Mocci A, Bacchelli A, Lanza M. Understanding and classifying the quality of technical forum questions. In: Proc. of the
14th Int’l Conf. on Quality Software. Allen: IEEE, 2014. 343–352. [doi: 10.1109/QSIC.2014.27]
[55] Treude C, Barzilay O, Storey MA. How do programmers ask and answer questions on the Web? NIER track. In: Proc. of the 33rd Int’l
Conf. on Software Engineering. Honolulu: IEEE, 2011. 804–807. [doi: 10.1145/1985793.1985907]
[56] Ghaleb TA, Da Costa DA, Zou Y. An empirical study of the long duration of continuous integration builds. Empirical Software
Engineering, 2019, 24(4): 2102–2139. [doi: 10.1007/s10664-019-09695-9]
[57] Shihab E, Ihara A, Kamei Y, Ibrahim WM, Ohira M, Adams B, Hassan AE, Matsumoto KI. Predicting re-opened bugs: A case study on
the eclipse project. In: Proc. of the 17th Working Conf. on Reverse Engineering. Beverly: IEEE, 2010. 249–258. [doi: 10.1109/WCRE.
2010.36]