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Logging is a common practice in traditional software development.
Yamane T (1967) Statistics: An introductory analysis. Tech. rep
1967
Earlier work this paper cites.
Kernighan BW, Pike R (1999) The Practice of Programming. Addison-Wesley Longman Publishing Co., Inc., USA
1999
Earlier work this paper cites.
Xu W, Huang L, Fox A, Patterson D, Jordan MI (2009) Detecting large-scale system problems by mining console logs. In: Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles, pp 117–132
2009
Earlier work this paper cites.
Nagaraj K, Killian C, Neville J (2012) Structured comparative analysis of systems logs to diagnose performance problems. In: 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12), pp 353–366
2012
Earlier work this paper cites.
Yuan D, Park S, Zhou Y (2012) Characterizing logging practices in open-source software. In: 2012 34th International Conference on Software Engineering (ICSE), IEEE, pp 102–112
2012
Earlier work this paper cites.
Zhu J, He P, Fu Q, Zhang H, Lyu MR, Zhang D (2015a) Learning to log: Helping developers make informed logging decisions. In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, IEEE, vol 1, pp 415–425
2015
Earlier work this paper cites.
D’Souza AR, Yang D, Lopes CV (2016) Collective intelligence for smarter api recommendations in python. In: 2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM), IEEE, pp 51–60
2016
Earlier work this paper cites.
Yang T, Agrawal V (2016) Log file anomaly detection. CS224d Fall 2016
2016
Cited alongside, same era.
Chen B, et al. (2017) Characterizing logging practices in java-based open source software projects–a replication study in apache software foundation. Empirical Software Engineering 22(1):330–374
2017
Cited alongside, same era.
Li H, Shang W, Hassan AE (2017) Which log level should developers choose for a new logging statement? Empirical Software Engineering 22(4):1684–1716
2017
Cited alongside, same era.
Munaiah N, Kroh S, Cabrey C, Nagappan M (2017) Curating github for engineered software projects. Empirical Software Engineering 22(6):3219–3253
2017
Cited alongside, same era.
Zhao X, Rodrigues K, Luo Y, Stumm M, Yuan D, Zhou Y (2017) Log20: Fully automated optimal placement of log printing statements under specified overhead threshold. In: Proceedings of the 26th Symposium on Operating Systems Principles, pp 565–581
Zhai H, Casalnuovo C, Devanbu P (2019) Test coverage in python programs. In: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), IEEE, pp 116–120
2019
Later among the works it cites.
Li Z, Chen TH, Shang W (2020) Where shall we log? studying and suggesting logging locations in code blocks. In: 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp 361–372
2020
Later among the works it cites.
Dilhara M, Ketkar A, Dig D (2021) Understanding software-2.0: A study of machine learning library usage and evolution. ACM Transactions on Software Engineering and Methodology (TOSEM) 30(4):1–42
2021
Later among the works it cites.
Li Z, Li H, Chen TH, Shang W (2021) Deeplv: Suggesting log levels using ordinal based neural networks. In: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), pp 1461–1472, DOI 10.1109/ICSE43902.2021.00131
2021
Later among the works it cites.
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2017
Cited alongside, same era.
Amershi S, Begel A, Bird C, DeLine R, Gall H, Kamar E, Nagappan N, Nushi B, Zimmermann T (2019) Software engineering for machine learning: A case study. In: 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), IEEE, pp 291–300
2019
Cited alongside, same era.
Zeng Y, Chen J, Shang W, Chen THP (2019) Studying the characteristics of logging practices in mobile apps: a case study on f-droid. Empirical Software Engineering 24(6):3394–3434
2019
Cited alongside, same era.
Cited in the paper.
Ding Z, Li H, Shang W (2022) Logentext: Automatically generating logging texts using neural machine translation. In: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp 349–360, DOI 10.1109/SANER53432.2022.00051
2022
Later among the works it cites.
Mastropaolo A, Pascarella L, Bavota G (2022) Using deep learning to generate complete log statements. arXiv preprint arXiv:220104837
2022
Later among the works it cites.
Openja M, Majidi F, Khomh F, Chembakottu B, Li H (2022) Studying the practices of deploying machine learning projects on docker. In: Staron M, Berger C, Simmonds J, Prikladnicki R (eds) EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13 - 15, 2022, ACM, pp 190–200, DOI 10.1145/3530019.3530039
2022
Later among the works it cites.