Mubug: a mobile service for rapid bug tracking

Mubug: 一种高效移动应用缺陷追踪处理系统


With the increasing popularity of mobile applications, a light-weighted bug tracking systems has been widely needed. While the high release frequency of the mobile applications requires a rapid bug tracking system for the software maintenance, the needs for users’ feedback can be easily accessed and manipulated for both common users and developers, which motivates us to develop a mobile service for bug tracking, namely Mubug, by combining the natural language processing technique and machine learning technique. Project managers can easily configure and setup bug tracking service without any installation on Mubug. Reporters can submit bug reports with texts, voices or images using their mobile devices. Bug reports can thus be processed and assigned to developers automatically. In this paper, we present the architecture of Mubug and some implememtation details.



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  1. 1

    Just S, Premraj R, Zimmermann T. Towards the next generation of bug tracking systems. In: Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, Herrsching am Ammersee, 2008. 82–85

    Google Scholar 

  2. 2

    Zhang W, Nie L, Jiang H, et al. Developer social networks in software engineering: construction, analysis, and application. Sci China Inf Sci, 2014, 57: 121101

    Google Scholar 

  3. 3

    Zimmermann T, Premraj R, Sillito J, et al. Improving bug tracking systems. In: 31st International Conference on Software Engineering—Companion Volume, Vancouver, 2009. 247–250

    Google Scholar 

  4. 4

    Chen Z, Luo B. Quasi-crowdsourcing testing for educational projects. In: Companion Proceedings of the 36th International Conference on Software Engineering. New York: ACM, 2014. 272–275

    Google Scholar 

  5. 5

    Feng Y, Chen Z, Jones J A, et al. Test report prioritization to assist crowdsourced testing. In: Proceedings of the 10th Joint Meeting on Foundations of Software Engineering. New York: ACM, 2015. 225–236

    Google Scholar 

  6. 6

    Foo S, Li H. Chinese word segmentation and its effect on information retrieval. Inf Process Manag, 2004, 40: 161–190

    Article  Google Scholar 

  7. 7

    Kao A, Poteet S R. Natural Language Processing and Text Mining. London: Springer-Verlag, 2007

    Book  MATH  Google Scholar 

Download references

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Correspondence to Qin Liu.

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Feng, Y., Liu, Q., Dou, M. et al. Mubug: a mobile service for rapid bug tracking. Sci. China Inf. Sci. 59, 1–5 (2016).

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  • bug report triage
  • bug report assignment
  • mobile service
  • bug tracking
  • 013101


  • 错误报告处理
  • 移动应用
  • 移动服务
  • 缺陷追踪