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Get A Large Scale Empirical Study Of Just In Time Quality Assurance

R, IEEE, Ahmed E. Hassan, Member, IEEE, Audris Mockus, Member, IEEE, Anand Sinha, and Naoyasu Ubayashi Member, IEEE Abstract Defect prediction models are a well-known technique for identifying defect-prone les or packages such that practitioners can allocate their quality assurance efforts (e.g., testing and code reviews). However, once the critical les or packages have been identi ed, developers still need to spend considerable time drilling down to the functions or even code snippets.

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