منابع مشابه
Derin Ogrenme Algoritmalarinda Model Testleri: Derin Testler
Deep learning, which is a new area of machine learning, has brought the success of recently developed artificial intelligence applications to very high levels. Most of the algorithms that are proposed in ImageNet contest as well as studies published at computer vision conferences, such as CVPR and ICLR, are based on deep learning. Developing deep learning algorithms depends on high amounts of l...
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Public institutions generally consider only the features list and the price in tenders while acquiring commercial-of-the-shelf (COTS) software products. Yet non-functional requirements of software often dominate them in terms of cost-benefit analysis and total cost of ownership (TCO). In this paper, we emphasize the non-functional requirements that need to be included in the technical scoring/e...
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متن کاملFine-Grained Test Minimization
As a software system evolves, its test suite can accumulate redundancies over time. Test minimization aims at removing redundant test cases. However, current techniques remove whole test cases from the test suite using test adequacy criteria, such as code coverage. This has two limitations, namely (1) by removing a whole test case the corresponding test assertions are also lost, which can inhib...
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ژورنال
عنوان ژورنال: Ankara Universitesi Egitim Bilimleri Fakultesi Dergisi
سال: 1987
ISSN: 1301-3718
DOI: 10.1501/egifak_0000001091