How to create or write STDF files? Nevertheless, it's a great tool to inspect, debug, and convert STDF files. Stdf4j (Java) claims support for writing. A.Standard Database Format (sdf) file is a database file storing information in fields of fixed length. A Microsoft Excel (xls) is a spreadsheet file, storing data entries in. Feb 22, 2018 - Title of archive: stdf converter download Latest R. Converts an STDF version 4 file to an ATDF. Best Stdf File Reader Free Download: Word File. Free STDF Resources:. (free) resources for people out there who wish to manipulate the Standard Test Data. Initial partial support for writing STDF files. YieldWerx STDF data analysis tool offers capabilities like read, view, modify, and convert STDF files into many different formats. Request FREE Demo!

Standard Test Data Format (STDF) is a proprietary file format for semiconductor test information originally developed by Teradyne, but it is now a de facto standard widely used throughout the semiconductor industry. It is a commonly used format produced by automatic test equipment (ATE) platforms from companies such as LTX-Credence, Roos Instruments, Teradyne, Advantest, and others.

STDF is a binary format, but can be converted either to an ASCII format known as ATDF or to a tab delimited text file. Decoding the STDF variable length binary field data format to extract ASCII text is non-trivial as it involves a detailed comprehension of the STDF specification, the current (2007) version 4 specification being over 100 pages in length. Software tools exist for processing STDF generated files and performing statistical analysis on a population of tested devices.

2External links

References[edit]

'yieldHUB'. yieldHUB.com.

External links[edit]

Specification[edit]

Standards developing organizations[edit]

External links[edit]

Retrieved from 'https://en.wikipedia.org/w/index.php?title=Standard_Test_Data_Format&oldid=913218264'

INTRODUCTION:

RADAR is a set of scripts written in the R language that can process STDF files and generate summary files, statistics tables, histograms, XY plots, wafermaps and more. The scripts will work on many different platforms (Windows, Linux, Unix, ...) since R is supported on many platforms. The scripts run quickly, since R is an efficient language. R is also very friendly for doing subsequent 'what about...' investigations of your data.

Example Outputs and Screen Captures:

To view some example histogram outputs, wafermap outputs, xy plots, and TkRadar screen captures click on the following link

RADAR Outputs And Screen Captures

DOWNLOAD:

To run the Radar package, you will need to have R installed. Fortunately, the R installation is a pretty painless experience. Visit the R home page to find the correct download for your system.

STEP 1: The link to the R home page, to download R...

http://www.r-project.org/ (RADAR verified with version 2.8.0, about 30MB download for Windows .exe install, and as recently as 2.15.3)

STEP 2: Download the Radar package as .zip or .tar.gz

STEP 3: Optional: To Access the 'to be included in the next release' updates

Go to the folder on Google Drive (link below) and copy the files into the radar package folder you now have from the 'STEP 2' installation. Some of these files will be new, others will overwrite/replace existing files.

OR, instead of Google Drive, the updated package can be found at Github...

To Access the older versions or to review the history of changes:

Developer's Page

Things that are of interest specifically to developers

A BRIEF HISTORY

0v0 -- Sep/06

Started. Evaluated different languages, by end of September, decided on 'R'.

0v1 -- Dec/06

Initially made available, limited distribution. ConvertStdf working with LTX/Cx and Catalyst STDF files (but not MPR records), PlotRtdf able to generate histograms and XY plots.

0v2 -- Jun/07

A more polished, complete and user friendly distribution: Added introduction slide deck, WaferMap script, ConvertParameters script, etc. ConvertStdf now works for 93K and Credence Quartet files, supports MPR records. PlotRtdf now generates .csv file of the statistics.

0v3 -- Aug/07

Added RCS version tracking to scripts, fixed some Credence test program dependent bugs, added a few more data sorting and screening scripts, created this web page

0v4 -- Oct/08

Just an accumulation of various features and bug fixes over the last year.

0v5 -- Nov/08

Added the TkRadar GUI. A big step in making it more user friendly.

0v6 -- Feb/09

Hide all the RADAR stuff in its own environments so your R workspace stays clean. (Also resolves some bugs with shared variables between functions) Added a few more scripts: ConvertEDL, ConvertJ9, SaveRtdf, LoadRtdf, ExpandMPRs. Added some per-user defaults that you can put in a .Rprofile file. Also a few bug fixes and minor feature tweaks: Now supports interleaved multisite stdf files as well as non-interleaved. ConvertStdf runs significantly faster for files that have >2K tests per device. See the release_notes_0v6.txt file for more detail.

Python Stdf

0v6p4 -- Jan/10

0v6p5 -- Dec/10

0v6p6 -- Apr/12

0v6p7 - Dec/13

0v6p8 - Aug/14

The latest release. Primarily just bug fixes and tweaks to 0v6p7

THE 'TO DO' LIST

RADAR is by no means a finished project, but in its current form it is already quite functional, useful and may already meet all your requirements. On the list of things that may be tackled next are:

Put it into a proper R package - This will require some syntax tweaks, a bit better documentation with examples, tidy up some of the spaghetti code into function calls...
WaferMap - Add stacked wafer maps
ConvertStdf - Make it more robust so that it handles mangled STDF files.(partially done)
Pareto - Add a script that makes pareto plots from RTDF files
StdfCheck - A checker that flags non-unique testnames, non-unique test numbers, any other sanity checks to make sure the test program is doing what you want in terms of datalogging. (ul > ll)
Add some example Perl scripts for automating the retrieval of STDF files from FTP sites on a daily basis, decrypting them (GPG), converting them to RTDF, moving files to appropriate directories, updating a MySQL database and sending status emails. (ActivePerl when in Windows, regular Perl when in Linux/Unix/...)
Add some tutorials on topics like guardband generation, reviewing 1000hr life test data, anova, etc...
ConvertStdf - Do a re-write, trying to use the apply() function when processing records to see if we can better leverage the R language speed. This also allows the ability to then go multi-threaded/multi-core/multi-cpu for further speed increases using snowfall
PlotRtdf - Add support beyond normal statistics, ie skewed normal/log normal, or separate upper and lower standard deviations to generate more realistic guard bands in cases where the data is not truly normal.

Questions, Reporting Bugs, Requesting Features, Code Submissions, Etc

So you want to reach someone...

Email to:

Enterprise Support, NDA's, Etc

Looking for a more traditional business relationship for your data analysis tools? Enterprise support is available. Use the above email address, and we'll forward your info/questions on.

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Do you want an email notification when the next version is released?

Again, send an email to the address above asking to be notified, and you'll be added to the notification list when new releases become available. Conversely, send an email when you want to be removed f

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