Software analytics as a learning case in practice: Approaches and experiences

Dongmei Zhang, Yingnong Dang, Jian Guang Lou, Shi Han, Haidong Zhang, Tao Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Software analytics is to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks around software and services. In this position paper, we advocate that when applying analytic technologies in practice of software analytics, one should (1) incorporate a broad spectrum of domain knowledge and expertise, e.g., management, machine learning, large-scale data processing and computing, and information visualization; and (2) investigate how practitioners take actions on the produced information, and provide effective support for such information-based action taking. Our position is based on our experiences of successful technology transfer on software analytics at Microsoft Research Asia.

Original languageEnglish (US)
Title of host publicationProceedings of the International Workshop on Machine Learning Technologies in Software Engineering, MALETS'11 - Associated with 26th IEEE/ACM International Conference on Automated Software Engineering
Pages55-58
Number of pages4
DOIs
StatePublished - Dec 15 2011
Externally publishedYes
EventInternational Workshop on Machine Learning Technologies in Software Engineering, MALETS'11 - Associated with 26th IEEE/ACM International Conference on Automated Software Engineering - Lawrence, KS, United States
Duration: Nov 12 2011Nov 12 2011

Publication series

NameACM International Conference Proceeding Series

Other

OtherInternational Workshop on Machine Learning Technologies in Software Engineering, MALETS'11 - Associated with 26th IEEE/ACM International Conference on Automated Software Engineering
CountryUnited States
CityLawrence, KS
Period11/12/1111/12/11

Keywords

  • Machine learning
  • Software analytics
  • Technology transfer

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Zhang, D., Dang, Y., Lou, J. G., Han, S., Zhang, H., & Xie, T. (2011). Software analytics as a learning case in practice: Approaches and experiences. In Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering, MALETS'11 - Associated with 26th IEEE/ACM International Conference on Automated Software Engineering (pp. 55-58). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2070821.2070829