Software development

Besides, this allows any final mistakes to be caught before releasing the product. In short, we want to verify if the code meets the defined requirements. For example, define a nomenclature for files or define a variable naming style such as camelCase. This will help your team to produce organized and consistent code that is […]

On the other hand, quantitative risk analysis is optional and objective and has more detail, contingency reserves and go/no-go decisions, but it takes more time and is more complex. Quantitative data are difficult to collect, and quality data are prohibitively expensive. Although the effect of mathematical operations on quantitative data are reliable, the accuracy of