Software Development

Read e-book online Advances in Computers, Volume 99 PDF

By Atif Memon

ISBN-10: 0128021314

ISBN-13: 9780128021316

Advances in Computers contains on a practice of excellence, proposing precise assurance of ideas in machine undefined, software program, concept, layout, and applications.

The ebook offers participants with a medium within which they could discover their matters in larger intensity and breadth than magazine articles commonly enable.

The articles integrated during this ebook becomes typical references, with lasting worth during this speedily increasing field.

  • Presents special insurance of contemporary options in machine undefined, software program, conception, layout, and applications
  • Includes in-depth surveys and tutorials on new machine know-how bearing on computing: combinatorial trying out, constraint-based trying out, and black-box testing
  • Written by means of recognized authors and researchers within the field
  • Includes large bibliographies with so much chapters
  • Presents volumes dedicated to unmarried issues or subfields of computing device science

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Extra info for Advances in Computers, Volume 99

Example text

The pilot project objectives included: investigating CT across multiple application areas, including system, software, and hardware testing; estimating possible improvements in fault detection with combinatorial methods; and quantifying possible reductions in test cost and overall lifecycle cost through earlier fault detection. The ACTS tool was used, supplemented with other tools that provided complementary capabilities, including Air Academy Associates: SPC XL, DOE KISS, DOE PRO XL, DFSS MASTER; Phadke & Associates: rdExpert; and Hexawise’s web-based Hexawise tool.

A simple solution involves checking every possible combination, one at a time, contained in the failed test. This solution is expensive due to the fact that the number of combinations contained in a test is an exponential function of the size of the test. Two efficient algorithms called FIC and FIC_BS are reported to quickly locate a failure-inducing combination by checking only a small number of possible combinations [10]. These two algorithms, however, make certain assumptions that may not be satisfied in practice.

For example, assume that there exists a constraint, A > B, between two parameters A and B of the system shown in Fig. 10. For 2-way testing, a new input parameter model can be created by replacing these two parameters Combinatorial Testing: Theory and Practice Parameters: Abstract parameter for 2-way testing: A={1,2,3}, B={1,2,3}, AB = {(A=2, B=1), (A=3, B=1), (A=3, B=2)} 31 C={1,2} Constraints: A>B Figure 10 Example of abstract parameters. , (A ¼ 2, B ¼ 1), (A ¼ 3, B ¼ 1), and (A ¼ 3, B ¼ 2). A test generation algorithm that does not support constraints can be applied to this new model to create a 2-way test set for this example.

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Advances in Computers, Volume 99 by Atif Memon

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