Download Advances in Computers, Vol. 17 by Marshall C. Yovits PDF

By Marshall C. Yovits

Given that its first quantity in 1960, Advances in desktops has awarded exact assurance of techniques in and software program and in computing device idea, layout, and functions. It has additionally supplied members with a medium within which they could research their matters in higher intensity and breadth than that allowed by way of regular magazine articles. for this reason, many articles became ordinary references that stay of vital, lasting price regardless of the fast progress happening within the box.

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A similar situation to be avoided is the common practice of decreasing the priority of the bug before the new product release, the goal being to avoid fixing it within a reasonable time. This can also undermine customer trust and business integrity principles. 5. Don’t rush to fix the bug and test the fix; check the fix very carefully. Many software engineers, especially young ones, are too anxious to fix a bug very quickly, report the fix to their boss, and then report very promptly to customers. They think they are right and are very proud of how fast they managed to solve a complicated problem.

2. Software testing: unit testing, system testing, black box testing, white box testing, measuring and increasing test coverage, boundary value testing, equivalence class partitioning, fuzzing, and so on. Testing techniques and tools are numerous. Most valuable, from a reliability viewpoint, are tools to measure the completeness of testing and to recommend to the user how to make the process of testing more and more complete. 3. Formal specification and verification methods: Floyd–Hoare program calculus (Hoare’s triples), algebraic specification (particularly, using the SDL or OBJ specification languages), set-theoretic specification (in particular, Z notation), denotational semantics, and so on.

The same way that it helps to implement security. , encryption and decryption) to enable privacy. We discuss these in more detail in Chapter 4. ” Reliability theory estimates the reliability of any technical system in terms of mean time between failures (MTBF) [53], the average time between system failures. , the number of operands and operators in a program), or cyclomatic complexity (McCabe’s metrics—the number of control branches in a program) [54]. The latter approach is based on the heuristic suggestion that the more complicated a system is, the less reliable it is likely to be, which is surely not always true.

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