Inference of development activities from interaction with uninstrumented applications

Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan

Abstract

Studying developers' behavior is crucial for designing effective techniques and tools to support developers' daily work. However, there are two challenges in collecting and analyzing developers' behavior data. First, instrumenting many software tools commonly used in real work settings (e.g., IDEs, web browsers) is difficult and requires significant resources. Second, the collected behavior data consist of low-level and fine-grained event sequences, which must be abstracted into high-level development activities for further analysis.

BibTeX

@inproceedings{Bao-al:ICSE18,
  author    = {Lingfeng Bao and
               Zhenchang Xing and
               Xin Xia and
               David Lo and
               Ahmed E. Hassan},
  title     = {Inference of development activities from interaction with uninstrumented applications},
  booktitle = {ICSE},
  pages     = {897},
  publisher = {{ACM}},
  year      = {2018},
}

Inference of development activities from interaction with uninstrumented applications

Abstract

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