WHY ANALYZE SYSTEM PERFORMANCE DATA in .NET

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57.5 WHY ANALYZE SYSTEM PERFORMANCE DATA
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You may ask: WHY do SEs need to analyze system performance data If the system works properly, WHAT do you expect to gain from the exercise WHAT is the return on investment (ROI) These are good questions. Actually there are at least several primary reasons WHY you need to analyze system performance data for some systems: Reason 1: Reason 2: Reason 3: Reason 4: Reason 5: Reason 6: Reason 7: To benchmark nominal system performance. To track and identify system performance trends. To improve operator training, skills, and pro ciency. To correlate mission events with system performance. To support gap analysis. To validate models and simulations. To evaluate human performance.
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Let s explore each of these reasons further.
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Reason 1: To Benchmark Nominal System Performance
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Establish statistical performance benchmarks via baselines, where applicable, for WHAT constitutes actual nominal system performance. For example, your car s gas mileage has a statistical mean of 30 miles per gallon as measured over its rst 20,000 miles. Remember, the original System Performance Speci cation (SPS) was effectively a Design-To limits set of requirements based on human estimates of required performance. Veri cation simply proved that the physical deliverable system or product performed within acceptable boundary limits and conditions. Every HUMAN-MADE system has its own unique idiosyncrasies that require awareness and understanding whether it is performing nominally or drifting in/out of speci cation. Consider the following example:
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EXAMPLE 57.3
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If a hypothetical performance requirement is 100 10, you NEED TO KNOW that System X s nominal performance is 90 and System Y s nominal performance is 100. Sometimes this is important; sometimes not. The borderline 90 system could stay at that level throughout its life while the perfect 100 system could drift out of tolerance and require continual maintenance.
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57.6 SE Focus Areas During O&S
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Reason 2: To Track and Identify System Performance Trends
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Use the nominal performance baselines as a benchmark comparison for system performance degradation and trends over its service life to ensure preventive and corrective maintenance occur at the proper time and are performed correctly. For example, suppose your car at 30,000 miles is only averaging 25 miles per gallon.
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Reason 3: To Improve Operator Training and Skills
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Determine IF and HOW systems are being unnecessarily stressed, misused, abused, or misapplied by particular operators.
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Reason 4: To Correlate Mission Events with System Performance
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Correlate system mission events and operator observations with recorded system responses and performance data. Ask yourself: Are we observing a problem area or symptom of a problem that has a root case traceable to latent defects
Reason 5: To Support Gap Analysis
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Collect objective evidence of existing system capabilities and performance to support gap analysis between the current system and projected competitive or adversarial system performance.
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Reason 6: To Validate Models and Simulations
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VALIDATE laboratory models and simulations against actual system performance to support future mission planning or assess proposed capability or performance upgrades.
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Reason 7: To Evaluate Human Performance
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Personnel such as infantry, pilots, and NASA astronauts are subjected to operating environments that can overstress human performance. Thus, human operator performance within the context of the overall MISSION SYSTEM performance must be well understood to ensure that training corrects or enhances operator performance for future missions.
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57.6 SE FOCUS AREAS DURING O&S
During the System Operations and Support (O&S) Phase, there are a number of SE focus areas that represent initial starting points for tracking and assessing system, product, or service performance. As stated in the Introduction, this chapter has two contexts: 1. Sustaining and improving current system performance. 2. Planning for next generation systems. Assessment of current system performance includes several focus areas: Focus Area 1: Focus Area 2: Focus Area 3: Focus Area 4: Correct latent defects. Improve Human System Integration (HSI) performance. Maintain MISSION SYSTEM training device concurrency. Maintain system baselines.
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System Operations and Support
Focus Area 1: Correct Latent Defects
Systems, products, and services have degrees of perfection as viewed by the User and System Developer. System Developers employ design veri cation and validation practices to discover any latent defects and de ciencies early in the System Development Phase when corrective actions are less costly. Despite the best of human attempts to perfect systems, some latent defects and de ciencies remain hidden until someone discovers the problem during the System O&S Phase hopefully WITHOUT adverse or catastrophic EFFECTS. New systems, especially large complex systems, inevitably have latent defects and de ciencies. Sometimes these are minor; other times they are major. From a program and SE perspective, the critical operational issue (COI) is to ensure that the delivered EQUIPMENT and its operators are able to achieve their mission objectives without subjecting them to injury, damage, or threats that jeopardize the mission. Software-intensive systems are especially prone to latent defects that are not discovered during system veri cation testing. Some defects or de ciencies not discovered until a system is elded. Sometimes they are highly obvious, and sometimes they are only detected over a period of time. The discovery may occur directly or indirectly during analysis of large amounts of data. Therefore, monitor Problem Reports (PRs) closely to determine if there are latent defects that need to be corrected and, if so, the degree of urgency in correcting them.