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Anecdotal evidence suggests that engineers and organizations tend to learn and mature in requirements traceability via a three-stage process. The degree of evolution depends on the size, complexity, and risk of SYSTEMs being developed and an organizational and individual desire and willingness to improve performance. Stage 1: There is general recognition of the need to organize and structure requirements using a standard speci cation outline. Over a period of time, the individual and organizational lessons learned, such as missing, misplaced, and con icting requirements, indicate that a new level of requirements implementation capability is required. This leads to Stage 2. The individual or organization recognizes that multi-level system requirements involve vertical requirements traceability via lineage with high-level requirements. Again, over time and many painful experiences in implementing speci cation requirements, there is a recognition and appreciation that vertical requirements traceability is one-dimensional. This leads to Stage 3. The individual and organization recognize the need for two-dimensional requirements traceability, VERTICALLY through the requirements hierarchy to the source or originating requirements and HORIZONTALLY via the use case thread traceability.

Stage 2:

18

Stage 3:

Monitoring resource utilization, especially in a virtual environment, is imperative and can be tricky. Without this capability, application environments can easily clash for resources, bringing all applications to a grinding halt.

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You may ask, Why bother to do all of this consistency thread checking If we limit the requirements derivation, allocation, and ow down to only vertical linkages from Capability Requirement B_11 to Capability Requirement B_111, B_112, and B_113: 1. What will the text of language of each of these requirements state 2. Will there be any objective evidence of WHAT outcome is expected when capability requirement B_111 is implemented, and WHAT is the relationship of this outcome to capability requirements A_112 and B_112 3. Will capability requirement A_112 indicate WHAT it expects from capability requirement A_111, and WHAT transformational processing is required to produce an output acceptable for requirement B_111 Generally, no. Limiting requirements allocation and ow down to strictly VERTICAL entity relationships DOES NOT guarantee that teams implementing requirements B_111 through B_113 will: 1. Communicate with each other. 2. If they do communicate, incorporate the results into design documentation. Unfortunately, many SEs do not discover these discontinuities in system use case threads until the system is in integration and test when the cost to correct is prohibitively expensive.

In summary, our discussions in this chapter provide the basis to establish the several key principles that govern practices requirement derivation, ow down, allocation, and traceability.

response times will be significantly longer when the cache size is too small. Therefore, the alternative with uniform servers cannot be considered seriously. Scalability can be improved by having multithreaded servers and concurrent client requests will be handled in parallel so that a good throughput can be provided. However, maintaining multithreaded C++ code is not a simple job. Finding and fixing bugs can be a very challenging task because the debuggers are not well suited for handling multithreaded programs. This consideration was the knockout criteria for multithreaded DaRT servers. The third alternative of data-specific servers is separating the objects in nonoverlapping sets. Specialized servers can handle concurrent client requests in a multiprocess environment (i.e., without multithreading). Due to multiple concurrent server processes the required scalability and throughput can be ensured. The servers can access and modify objects concurrently and will not block if the objects are in different

Principle 32.1 When deriving SYSTEM/entity requirements, understand: 1. 2. 3. 4. What the User NEEDs. What the User WANTs. What the User can AFFORD. What the User is WILLING to pay.

Monitoring the VMs themselves is extremely important, but be careful where you look for utilization information. The OS inside a virtual machine may report utilizing 80% of its memory when the virtual machine may only show 25% utilization because of some of the advanced resource-management techniques that virtualization software employs. Q Does your management system automate load balancing of VMs across or within a group of physical servers based on utilization and/ or other criteria How much granularity is there Can you define policies for automation, or is the definition purely percentage-based

Principle 32.2 Speci cation requirements allocations ensure vertical requirements traceability; use case threads integrate those allocations into horizontal work ows that produce SYSTEM level performance-based outcomes.

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