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  • Test system upgrades can expose problems

    Traps can lurk below the surface when you upgrade hardware or software.

    By Mike Rutledge, EADS North America Test and Services -- Test & Measurement World, 9/1/2009 2:00:00 AM

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    See other articles from our
    September 2009 issue.

    In industries such as the defense industry, test systems can remain in service for 20 years or more. The engineers who maintain such systems keep them going by repairing and replacing instruments and components that malfunction or fail. In the past, these engineers could count on identical replacements being available for many years, but now manufacturers frequently redesign or update their products in response to market pressures. The result has been a decline in the life span of each of the key components in test systems.

    For instance, CPU life spans are now measured in months, rather than years. Associated operating systems likewise have much shorter life spans. Instrument manufacturers who once operated under a 10- to 15-year product life cycle are now in the 3- to 5-year mode. Thus, the issue of upgrading and managing test assets is becoming an ongoing concern, as opposed to a one-time activity during system development.

    Just because parts of your test system need an overhaul does not mean that you can—or should—develop an entirely new system. You may merely need to upgrade some of the instruments or the software. Because upgrading a test system is a business decision, you must determine what upgrades are essential to your business needs and whether the expected improvements justify the investment in new equipment and new programming. And when undertaking an upgrade, be prepared to uncover new problems or to revisit problems for which you found a workaround in the past.

    Preserving legacy elements

    A test system relies on its application programs, typically in the form of TPS (Test Program Sets), to carry the workload of the platform. A typical TPS development process is shown in the figure. (Go to the figure at the end of this article.) The terminology in the figure reflects US Air Force jargon, so the term ITA (interface test adapter) is used for fixturing, as opposed to ID (interface device) or TUA (test unit adapter). (See a list of acronyms.) Fixturing, here, consists of the interconnectivity between the test resource and the UUT (unit under test).

    The TPS development process is the legacy of the test system that you must either preserve or move to a new test asset. To the extent that you can move each box in the figure without change, you preserve investments, reduce cost, and mitigate risk for the upgraded platform. For each box that you must rework, the opposite is true: Past investment becomes sunk cost, expenditure increases, and risks are exposed. Thus, if you move to a totally new platform with completely new software, you are, in essence, performing a new development and not a migration.

    The first task in any test system upgrade is to make sure you fully understand and define the problem you need to solve, such as replacing obsolete instruments or parts, expanding capability, improving poor performance, or adapting the system for a new purpose. Once you establish these parameters, you have a strategic direction on which to base decisions.

    To define the problem, a systems approach is often useful. The primary issues might be component obsolescence; withered test assets, computer resources, and peripherals; high operational costs; and the need for additional capabilities that new technologies can provide. (For example, you might want to insert new technology to improve information management.) The interfaces to the fixture might be showing signs of wear and tear after years of use, or the UUT itself might have been upgraded with capabilities that are difficult or cost prohibitive to test with the existing test system.

    Questions you need to consider include:

    • What is the process of validating the resultant new test-system product or products?

    • Will I need to complete a comprehensive regression test and fully qualify the new test-system product or products? (Regression testing and qualification can easily cost more than the test assets being replaced, depending on the workload of the test set.)

    • Can I demonstrate with a high degree of confidence the traceability from the current fielded baseline to the modified test system with little or no risk?

    Once you have defined the problem, you have several possible courses of action:

    • Modify the system while keeping the identical capabilities to the current system. A product or item manager might say, “I want what I have, no more, no less. I'm modifying the system only because test equipment is no longer available that's a direct replacement.” Such managers probably are not “test guys.” They want capabilities at the lowest cost.

    • Develop a system with a few enhancements, such as better speed or accuracy. Managers who request this option generally have some test savvy, know that bugs exist, or perhaps sense that certain aspects of their product are not perfect. This type of position uses obsolescence as a reason to get problems fixed.

    • Develop a completely new system. A manager who asks for this wants today's technology in a system that will last another 20 years. The UUT will limit test system performance because of communications buses.

    “Can do better” is a trap

    Faster computers or test equipment can expose timing latencies that make newer test systems less compatible with UUTs than a legacy system. Many legacy test systems were designed specifically to test the asset; they did not result from efforts to adapt general-purpose COTS (commercial-off-the-shelf) products to a specific need. These legacy systems were usually highly optimized for that one application, and improving the efficiency of the test system without modifying the design of the UUT can create timing conflicts.

    During an upgrade, you will often find timing problems that were masked by the architecture of the legacy system. As processing power removes latency from the system, some settling-time issues with respect to stability or power might emerge. Potential problems might appear in something as simple as a step attenuator in the output of an RF signal, or they might appear in a current-sensing function monitoring a power supply's initial surge during power up. To ease these types of issues, you must fully understand the problem and apply systemic solutions, or the TPS will once again become attached to the particular test set.

    Other timing problems may occur when better processors communicate with instrument buses at faster rates than the legacy processor could support. If the test executive does not provide hooks to manage this type of problem, you may need to modify the system drivers so they can support older products. The PAWS Run Time System development software, for example, provides for multiple ways to communicate with instruments and allows bus definitions to account for slow assets.

    You might think that because the new test system offers 20, 40, 60, or more times the power of the legacy system, that the throughput should increase significantly. This expectation ignores the fact that the UUT is not 20, 40, 60, or more times more powerful, but remains as it ever was. Thus, while it is not unusual for newer systems to improve throughput, do not expect significant improvement to be the norm without a thorough analysis and quantification of exactly where these improvements will occur.

    Hardware issues

    The selection of a hardware architecture is one of the first decisions you will make. The increasing power and speed of a variety of buses and controllers provide a multitude of options. There are instrument interfaces based on Ethernet, VXI, PCI, USB, and GPIB, to name only the common ones. Each of these interfaces has advantages and disadvantages (number of vendors, degree of openness, conformance to open specifications, speed, durability, environmental considerations, and so on). Each of these will drive approaches to modularity, sparing and logistics, and maintenance. As you investigate these factors, you will need to address the following issues:

    • Old system functionality. Did the designer of the legacy system use instruments in ways that were unorthodox (for example, using a digital multimeter's four-wire resistance-measurement feature as a current source in a way that is undocumented)? Can you duplicate that with new equipment? How?

    • Performance envelope. Does the existing system operate at the corners of the test equipment? Can you characterize the entire performance envelope? Can you duplicate the performance envelope with automated software to minimize regression testing?

    • System asset improvements. Will the new hardware with better specifications uncover problems masked by the legacy equipment? For example, an improved noise floor might uncover spurs that were not seen before, or the new hardware could present timing issues related to high-speed communication devices, raising bus conflicts and bus-settling issues.

    • Interfacing and fixturing. Can you use legacy fixtures, or will you need new fixtures? If you need new fixturing, how can you characterize the performance of the device? Will new instruments detect crosstalk and noise that the older system ignored? Can you develop a standard system interface (ARINC 408 or CTI IEEE 1505) and adapt legacy ITAs to this with an adapter-adapter?

    • Grounding, cooling, and mechanical issues. How was grounding implemented in the legacy system? Were floating grounds available to enable the use of the UUT ground as the reference? Can the new instruments provide a floating ground or are they tied to system ground?

    • Fundamental clock stability and noise. If you need to phase-lock to a clock signal, can you? Can you use the UUT as a reference for phase measurements?

    Software issues

    The software architecture issues can be even more critical than the hardware architectural issues, because most commercial software vendors provide support for the current versions and perhaps one to two previous versions of their products. Therefore, for a 15- to 20-year life cycle, the software must either migrate with the technology continuously or be archived and supported with a specialized team at relatively high expense. In any event, you need to develop a strategy for migrating the software technology, or else you need to establish a baseline and hold it.

    Software architectures today typically have some layer of abstraction above the primary instrument interface (vendor driver) to aid in the management of obsolescence and limit the dependence of the TPS to the particular instrument. This “middleware” layer can be used for system functions such as calibration factors, cross-instrument communication, and resource management to enable a programmer to adapt COTS resources to particular requirements. Unfortunately, this layer of abstraction does not engender enthusiasm from vendors, because it enables the integrator to treat instruments as commodities. The test industry has attempted to establish layers of abstraction in initiatives including VISA, VXIplug&play, IVI, and synthetic instruments, and it will continue to work on implementing these concepts.

    To the degree that the software layers are “open” and not vendor-dependent, the system will be more supportable and susceptible to technology insertion and migration. For example, an IEEE language (such as ATLAS) is not subject to a particular business cycle and will likely provide a longer life than the current fad—although the current fad can often become a standard (see the history of the C language). The tradeoff is usually expediency (graphical or cool languages) versus supportability.

    In either event, team discipline and communication is critical. As with hardware, there are issues to consider:

    • Rewrite. Should you rewrite test code into a more modern language or try to use existing code? Can you convert existing code?

    • Programming assumptions. What programming assumptions were made in the old software code?

    • Business or environment assumptions. Elements of legacy code were probably based upon common understandings of software developers at the time they created the legacy code. These assumptions may not be documented, and they may not be obvious today.

    • Data. Supporting data and documentation may be tied to the legacy code explicitly, and changing the code can result in significant costs to update and manage the associated data.

    • Instrument interchangeability. The ability to interchange instruments combines hardware and software issues.

    Role of virtual instrumentation

    Virtual, or synthetic, instrumentation has been the topic of much discussion in the test industry. When deciding to replace a test instrument with virtual instrumentation, you need to evaluate how the legacy software took advantage of the characteristics of the legacy instruments, either knowingly or unknowingly. The specifications of the legacy system and its components may not describe the full envelope of performance that was assumed by the legacy applications, and this will create an unforeseen hurdle for migration.

    Programmable, modular instruments, like the Talon Instruments T964 digital test resource module from EADS, provide the integrator with flexibility to respond to unforeseen issues as they emerge. The integrator can program such modules to fit into an existing test system rather than having to reprogram the entire system to accept a new instrument; this reduces the risk and cost associated with inserting new equipment and maintaining a legacy system. The T964 has the ability to mimic leakage current, for example, as a way to minimize any changes to the existing legacy TPS base.

    As the current inventory of legacy test systems continues to age, more and more equipment will need to be migrated, either to a new platform or to a new computer. A systematic approach should help to identify risk areas. Minimizing the elements of the legacy system that are changing will reduce the cost and risk of replicating the existing performance. Modern tools and virtual-instrument assets are a means to help reach the end of a more supportable and sustainable test capability that preserves past investment to the maximum extent.


    Figure.
      A test system relies on its application programs, typically in the form of a TPS, to carry the workload of the platform. The terminology shown here reflects US Air Force jargon, so the term ITA (interface test adapter) is used to refer to fixturing. Fixturing, here, consists of the interconnectivity between the test resource and the UUT. See a list of acronyms.




    Acronyms

    ARINC: originally, Aeronautical Radio Inc. (www.arinc.com)
    ATP: Acceptance Test Procedure
    ATS: Automatic Test System
    CDR: Critical Design Review
    COTS: Commercial off the Shelf
    CTI: Common Test Interface
    GPIB: General Purpose Interface Bus
    HRS: Hardware Requirement Specification
    HW: Hardware
    IDR: Initial Design Review
    ITA: Interface Test Adapter
    IVI: Interchangeable Virtual Instrument; see www.ivifoundation.org
    O to D: Organization to Depot
    PCI: Peripheral Component Interconnect; see www.pcisig.com/home
    PDR: Preliminary Design Review
    PXI: PCI Extensions for Instrumentation; see www.pxisa.org
    SDD: System Development and Demonstration
    SRS: Software Requirement Specification
    SW: Software
    SWQA: Software Quality Assurance
    TPS: Test Program Set
    TRD: Technical Requirements Document
    TUA: Test Unit Adapter
    USB: Universal Serial Bus
    UUT: Unit Under Test
    VISA: Virtual Instrumentation Software Architecture
    VXI: VMEbus Extensions for Instrumentation
    VXIplug&play: see www.ivifoundation.org/VXIPlug_Play/default.aspx

    Author Information
    Mike Rutledge is director, advanced programs, at EADS North America Test and Services.
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