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Studies of Different Variations of Adaptive Random Testing

Studies of Different Variations of Adaptive Random Testing


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This dissertation, "Studies of Different Variations of Adaptive Random Testing" by David Peter, Towey, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled \Studies of Dierent Variations of Adaptive Random Testing" Submitted by David Peter Towey for the degree of Doctor of Philosophy at the University of Hong Kong in April, 2006 The importance of testing software has been increasingly acknowledged in recent years. Dierent approaches have been investigated and reported upon. One method which has aroused considerable discussion is Random Testing (RT), a method of testing software which relies on a random selection of test cases (collections of inputs representing a single use of the software being tested). Among the advantages of RT are its ease of use, the minimal overheads in test case generation, and the statistical support available. Research has indicated that failure patterns (portions of an input domain which, when executed, cause the program to fail or reveal an error) can inuence the eectiveness of some testing strategies. For certain types of failure patterns, it has been found that a widespread and even distribution of test cases in the input domain can be signicantly more eective at detecting failure than ordinary RT. Testing methods based on RT, but which aim to achieve even and widespread distributions, have been called Adaptive Random Testing (ART) strategies. In this thesis, the background and motivations behind ART are explained. Because there are many ways to achieve a widespread and even distribution of test cases, there are many possible implementations of ART. Several major ART implementations are exam- ined in detail, and various computational cost reduction strategies and enhancements are presented. The methods presented are analysed mathematically and empirically. The methods areapplied to simulations and fault-seeded programs, and their performance in terms of the number of test cases required to nd a failure (a metric introduced as the F-measure) is examined. An abstract of exactly 258 words DOI: 10.5353/th_b3642385 Subjects: Computer software - Testing


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Product Details
  • ISBN-13: 9781361434901
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • Weight: 712 gr
  • ISBN-10: 1361434902
  • Publisher Date: 27 Jan 2017
  • Binding: Hardback
  • Spine Width: 11 mm
  • Width: 216 mm


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