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The ad-hoc technique is very dependent on the individuals performing the inspection.In checklist-based reading, the reviewer is given a checklist with questions that are to be answered during the review.While reading the document, the reviewer tries to answer the questions and find defects in the document.Each reviewer applies only a single scenario/looks for one fault class only.Each role has scenarios that include questions and activities that tell the reader how to review.

Our investigation has also yielded insightful understanding and interpretation of the behavior of the machine learning systems from an end-user software engineering's perspective, rather than a designer's or implementor's perspective, who normally adopts a theoretical approach.The questions shall draw the attention of the reviewer to some aspects of the inspected document that are often found defective.Checklists give support to the reviewer, so that the result of the review is not dependent on the skills of the individual.Before we send the requirements to the stakeholders asking them for approval and commitment we also validate the requirements against certain quality criteria, quality standards which are applicable within the organization we work for.The most popular characteristics of good requirements are: Especially during the peer-reviews and inspection, it is additionally possible to improve effectivness of a review by using different reading techniques.

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To support METTLE, we have further formulated 11 generic metamorphic relations (MRs), covering users' generally expected characteristics that should be possessed by machine learning systems.

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