THE DEVELOPMENT OF SERVER SOFTWARE TRACING & TESTING C O L O R IMAGE COMPRESSION Holly Soper

1. THE DEVELOPMENT OF SERVER SOFTWARE TRACING & TESTING COLOR IMAGE COMPRESSION Holly Soper Mathematics & Computer Science Program IBM/InfoPrint Solutions Company; Boulder, CO; Software Engineering Internship, Summer 2007

2. Specify traces to turn on in a file Run software code Developers Trace statements encountered in code Customers Code continues to execute DEVELOPMENT OF SERVER SOFTWARE TRACING IBM has a product called InfoPrint ProcessDirector (IPPD), which is software that controls print production processes such as the assignment of workflow and print queue management. The following shows the system flow of software that implements tracing: Is trace on? yes no Write trace line to a file Do not write trace IPPD needed a new tracing system, a particular functionality that allows information to be logged about the software's execution. This is helpful for both developers (locate bugs and examine system execution) and customers (able to run traces and report to customer support). The Process • Research current IPPD tracing system • Prepare a design document • Facilitate a design review with developers • Code design implementation in Java within IPPD • Present education session explaining the new trace system The new trace system… • Centralized trace classes • Extensible (usable by extensions) • Object-specific trace classes • Trace groups identified by its full name • Files named based on the time • Could support dynamic tracing • No more “debug” trace The old trace system… • Not extensible (not usable by extensions) • Scattered trace classes • Random trace classes • Trace groups/subgroups identified by a single character • Expensive renaming of files • Must re-start server to change trace settings • Over 40% of all tracing was of the same “debug” trace

3. TESTING COLOR IMAGE COMPRESSION IBM offers both software and hardware options for printing solutions, such as large industrial printers. Part of their development includes maintaining printer output integrity. The image transform team needs to ensure software quality in their deliverables to the control unit team. For IBM's black and white printer, automated regression is performed on a set of test images and the output is compared to the “correct” output to make sure nothing has changed. The comparison is performed by computing the bounding box and coverage (number of black pixels) for the test output and comparing these values to the same values from the reference image. The job was to implement a similar comparison tool for color images that will enable automated regression for IBM's color printing products. However, color is a bit more complicated than black and white, because color exists in multiple planes while black and white is just in one. The new tool uses the bounding box and peak signal-to-noise ratio (PSNR) algorithms (programmed in C) to detect deviations of the resulting image from the reference image. Bounding Box Peak Signal-to-Noise Ratio (PSNR) Sheet side Where MAXI is the maximum pixel value of the image and MSE is the mean squared error between two images Image Translation? PSNR quantifies the average physical difference between two images