Aiming at the dependence of parameter fitting and performance evaluation on the FDS (Failure Dataset) in SRGM (Software Reliability Growth Model), the function and the impact of FDS on SRGM are studied, and the drawbacks and release advice are proposed. Firstly, SRGM performance evaluation flowchart is sketched and the collected FDSs are described, classified and analyzed. Secondly, 7 typical imperfect debugging dependent of SRGMs are evaluated on 9 FDSs. Furthermore, the fitting and prediction impact of FDS on SRGM are analyzed. From the view of publisher and researcher, the deficiencies in FDS are pointed out and the suggestions on releasing FDS are given. The research result shows that the researchers need to fully mine the testing information in FDS and establish more accurate SRGMs. Finally, the lack of the FDSs describing the new type of software structure and containing a large amount of failure information has been the bottleneck to restrict the development of SRGM.