An Empirical Study of Software Exceptions in the Field using Search Logs

  title={An Empirical Study of Software Exceptions in the Field using Search Logs},
  author={Foyzul Hassan and Chetan Bansal and N. Nagappan and T. Zimmermann and Ahmed Hassan Awadallah},
  journal={Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
Background: Software engineers spend a substantial amount of time using Web search to accomplish software engineering tasks. Such search tasks include finding code snippets, API documentation, seeking help with debugging, etc. While debugging a bug or crash, one of the common practices of software engineers is to search for information about the associated error or exception traces on the internet. Aims: In this paper, we analyze query logs from Bing to carry out a large scale study of software… Expand
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Analyzing Web Search Behavior for Software Engineering Tasks
Code Search Intent Classification Using Weak Supervision


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Integer Linear Programming Inference for Conditional Random Fields. In Proceedings of the 22Nd International Conference on Machine Learning (Bonn, Germany) (ICML ’05)
  • 2005