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In process improvement efforts, quality costs tite or cost of quality (sometimes abbreviated CoQ or COQ [1]) is a means to quantify the total cost of quality-related efforts and deficiencies. It was first described by Armand V. Feigenbaum in a 1956 Harvard Business Review article.
Cost of poor quality (COPQ) or poor quality costs (PQC) or cost of nonquality, are costs that would disappear if systems, processes, and products were perfect. COPQ was popularized by IBM quality expert H. James Harrington in his 1987 book Poor-Quality Cost. [1] COPQ is a refinement of the concept of quality costs.
Because software, unlike a major civil engineering construction project, is often easy and cheap to change after it has been constructed, a piece of custom software that fails to deliver on its objectives may sometimes be modified over time in such a way that it later succeeds—and/or business processes or end-user mindsets may change to accommodate the software.
There is a relation with test costs and failure costs (direct, indirect, costs for fault correction). Some factors which influence test effort are: maturity of the software development process, quality and testability of the testobject, test infrastructure, skills of staff members, quality goals and test strategy.
Fail-fast components are often used in situations where failure in one component might not be visible until it leads to failure in another component as a consequence of lazy initialization. e.g. "The system that is "doomed" to fail because a file-system path is wrongly set up, does it not fail at startup because the file-system path is not ...
cost, measuring the resources (and by extension, financed) required to plan, deliver, and improve the finished good or service. Based on an earlier model called the sand cone model, these objectives support each other, with quality at the base. [26] [25] By extension, quality increases dependability, reduces cost, and increases customer ...
“Wouldn’t budge from $62,500 for a downtown loft. Owner wanted 65k. Unit sold for $275,000 1 year later.” – u/EMH55 2. Kids Do the Darndest Things
The first piece of information added in an FMEDA is the quantitative failure data (failure rates and the distribution of failure modes) for all components being analyzed. The second piece of information added to an FMEDA is the probability of the system or subsystem to detect internal failures via automatic on-line diagnostics.