xml2x program: Convert BLAST output in XML format to CSV or HTML. It’s no wonder that Examinator-Pro has become the de facto industry standard and is used by applications engineers at the top 3 ATE companies: Advantest, Xcerra and Teradyne. Eden (1), Convenience (1), Conversion (6), CouchDB (1), CPP (1), CRDT (1), Criu (2). Given the billions of data points and the time pressure to resolve issues quickly, rapid data analysis is critical.
Once the production volumes ramp they use Examinator-Pro again to diagnose yield excursions. Did your computer fail to open a STDF file We explain what STDF files are and recommend software that we know can open or convert your STDF files. dont necessarily or consistently put the DTR records into the STDF data. Typically, these engineers use Examinator-Pro to conduct characterization of early samples, then qualify the product and test hardware before the production ramp using repeatability, correlation, and reliability analysis. RTDF file or look at the ConvertCsv section. The majority of our 7500+ of users are product, test and applications engineers from fabless, IDM, subcontractor and ATE companies. It also provides some powerful new productivity features for multi-variable corner-case characterization, accelerated life testing and fast, flexible queries on huge datasets stored in a Test Data Repository.Įxaminator-Pro™ (the combination of EXAMINe + translATOR) is a software solution that enables test and product engineers to perform device characterization, test program qualification, reliability analysis, and yield analysis studies from standard semiconductor data files such as STDF, GDF, e-Test (WAT and PCM), CSV, and more than 100 other datalog formats. In any case, Semi-ATE is outputting STDF data, so whatever (legacy) system (s) you have, Semi-ATE will play along nicely The Semi-ATE-Metis project builds on Semi. Galaxy’s flagship product, Examinator-Pro™ turns standard test data files into comprehensive reports and enables you to drill down into the data interactively for root-cause analysis. Anyway, I did put pandas forward, because Semi-ATE is Python (>3.7) based, but to be fair one could also go the SAS- or the R way but those make less sense in the Semi-ATE concept.