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Characterizing and Recommending Mocking Decision for Unit Tests

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MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests

This repository holds the dataset and code for the following work:

Hengcheng Zhu, Lili Wei, Ming Wen, Yepang Liu, Shing-Chi Cheung, Qin Sheng, and Cui Zhou. 2020. MockSniffer: Characterizing and Recommending Mocking Decisions for Unit Tests. In 35th IEEE/ACM International Conference on Automated Software Engineering (ASE ’20), September 21–25, 2020, Virtual Event, Australia. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3324884.3416539

Overview

  • For data analysis scripts please checkout ASE20_data.
  • For code analysis, instrumentation, and feature extraction, please checkout MockSniffer.

Pre-extracted dataset and pre-trained model are available in Releases.

More detailed replication instructions will be added soon.