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  2. QA Ltd - Wikipedia

    en.wikipedia.org/wiki/QA_Ltd

    QA Ltd is a provider of technical and business skills in the UK and in North America.They offer technical, management and other associated professional skills. [3] The company is currently involved in providing education and training across self-paced learning, instructor-led learning, apprenticeships, consulting, with higher education as a separate division. [4]

  3. International Software Testing Qualifications Board - Wikipedia

    en.wikipedia.org/wiki/International_Software...

    The International Software Testing Qualifications Board (ISTQB) is a software testing certification board that operates internationally. [1] Founded in Edinburgh in November 2002, the ISTQB is a non-profit association legally registered in Belgium.

  4. Software quality assurance - Wikipedia

    en.wikipedia.org/wiki/Software_quality_assurance

    Software quality assurance (SQA) is a means and practice of monitoring all software engineering processes, methods, and work products to ensure compliance against defined standards. [1]

  5. Software testing - Wikipedia

    en.wikipedia.org/wiki/Software_testing

    Software testing is an activity to investigate software under test in order to provide quality-related information to stakeholders. By contrast, QA (quality assurance) is the implementation of policies and procedures intended to prevent defects from reaching customers.

  6. Quality assurance - Wikipedia

    en.wikipedia.org/wiki/Quality_assurance

    WHO has developed several tools and offers training courses for quality assurance in public health laboratories. [27] The Capability Maturity Model Integration model is widely used to implement Process and Product Quality Assurance (PPQA) in an organization. The CMMI maturity levels can be divided into 5 steps, which a company can achieve by ...

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

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