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Main sources of error in a digital terrain model
Main sources of error in a digital terrain model









  1. #Main sources of error in a digital terrain model software
  2. #Main sources of error in a digital terrain model code
  3. #Main sources of error in a digital terrain model free

#Main sources of error in a digital terrain model code

This includes the code maintainability, understandability, efficiency, and security.

  • Non-Functional – system’s inner characteristics and architecture, i.e.
  • This aspect focuses on the practical use of software, from the point of view of the user: its features, performance, ease of use, absence of defects.
  • Functional – the product’s compliance with functional (explicit) requirements and design specifications.
  • #Main sources of error in a digital terrain model software

    These so-called explicit and implicit expectations correspond to the two basic levels of software quality: It is often defined as “ the degree of conformance to explicit or implicit requirements and expectations”. In order to make sure the released software is safe and functions as expected, the concept of software quality was introduced. Watch the video to learn what events triggered the development of software testing and how it has evolved through the years

    #Main sources of error in a digital terrain model free

    History knows many examples of situations when software flaws have caused billions of dollars in waste or even lead to casualties: from Starbucks coffee shops being forced to give away free drinks because of a register malfunction, to the F-35 military aircraft being unable to detect the targets correctly because of a radar failure. While to err is human, sometimes the cost of a mistake might be just too high. The Concept of Software Quality: Quality Assurance (QA), Quality Control (QC) and Testing In this paper, we will share our insights on the quality assurance and testing process, our best practices and preferred strategies. That is why we at AltexSoft put a premium on the quality of software we build for our clients. A single error in an EHR system might put a patient’s life at risk, while an eCommerce website that has performance issues might cost the owner millions of dollars in revenue. Yet, a sour pear won’t cause as much damage as a self-driving car with poor quality autopilot software. This makes quality control so important in every field, where an end-user product is created. A website you find on the Internet might seem fine at first, but as you scroll down, go to another page, or try to send a contact request, it can start showing some design flaws and errors. The same applies to almost any product, be it a physical object or a piece of software. Even an extremely good-looking pear might taste sour or have a worm in it. But only as you take the first bite, will you be able to see if the pear is really that good. When you buy a pear, you can instantly evaluate its quality: the size and shape, ripeness, the absence of visible bruising.

  • References Reading time: 23 minutes Introduction.
  • The Process of Software Testing in Practice The Role of Testing in Software Development Life Cycle











    Main sources of error in a digital terrain model