مشاهده مشخصات مقاله
A Classifier-based Test Oracle for Embedded Software
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نویسنده (ها) |
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Farshad Gholami
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Niousha Attar
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Hassan Haghighi
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Mojtaba Vahidi-Asl
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Meysam Valueian
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Saina Mohamadyari
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مربوط به کنفرانس |
سمپوزیوم بینالمللی سیستمها و فنآوریهای بیدرنگ و نهفته RTEST 2018 |
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چکیده |
Despite great advances in different software testing areas, one important challenge, achieving an automated test oracle, has been overlooked by academia and industry. Among various approaches for constructing a test oracle, machine learning techniques have been successful in recent years. However, there are some situations in which the existing machine learning based oracles have deficiencies. These situations include testing of applications with low observability, such as embedded software and multimedia software programs. There are also cases in testing embedded software in which explicit historical data in form of input-output relationships is not available, and situations in which the comparison between expected results and actual outputs is impossible or hard. Addressing these deficiencies, this paper proposes a new black box solution to construct automated oracles which can be applied to embedded software and other programs with low observability. To achieve this, we employ an Artificial Neural Network (ANN) algorithm to build a model which only requires input values, and the program’s corresponding pass/fail behaviors, as the training set. We have conducted extensive experiments on several benchmarks. The results manifest a higher accuracy of the proposed approach comparing with a well-known machine learning based method. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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