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Fault Identification and Reliability Assessment Tool Based on Deep Learning for Fault Big Data
2017
Software Networking
Recently, many open source software (OSS) are developed under several OSS projects. Then, the software faults detected in OSS projects are managed by the bug tracking systems. Also, many data sets are recorded on the bug tracking systems by many users and project members. In this paper, we propose the useful method based on the deep learning for the improvement activities of OSS reliability. Moreover, we apply the existing software reliability model to the fault data recorded on the bug
doi:10.13052/jsn2445-9739.2017.008
fatcat:q4zmefg7lnfajg2e5bxfffynaa