000			04055nam a2200421 i 4500
005			20250918233809.0
008			140403s2013 flua b 001 0 eng
020			_a9781466552296 (hardback) _cRM248.48
020			_a1466552298 (hardback)
039		9	_a201405301128 _bzaina _c201405231054 _dhamudah _y04-03-2014 _zhamudah
040			_aDLC _beng _erda _cDLC _dYDX _dBTCTA _dUKMGB _dOCLCO _dYDXCP _dOCLCF _dUKM
090			_aQA76.76.T48K844 3
090			_aQA76.76.T48 _bK844 3
100	1		_aKuhn, D. Richard.
245	1	0	_aIntroduction to combinatorial testing / _cD. Richard Kuhn, Raghu N. Kacker, Yu Lei.
264		1	_aBoca Raton : _bCRC Press, _c[2013].
300			_axxii, 319 pages : _billustrations (some color) ; _c25 cm.
336			_atext _2rdacontent.
337			_aunmediated _2rdamedia.
338			_avolume _2rdacarrier.
490	1		_aChapman & Hall/CRC innovations in software engineering and software development.
504			_aIncludes bibliographical references (pages 293-307) and index.
520			_a'Combinatorial testing of software analyzes interactions among variables using a very small number of tests. This advanced approach has demonstrated success in providing strong, low-cost testing in real-world situations. Introduction to Combinatorial Testing presents a complete self-contained tutorial on advanced combinatorial testing methods for real-world software.The book introduces key concepts and procedures of combinatorial testing, explains how to use software tools for generating combinatorial tests, and shows how this approach can be integrated with existing practice. Detailed explanations and examples clarify how and why to use various techniques. Sections on cost and practical considerations describe tradeoffs and limitations that may impact resources or funding. While the authors introduce some of the theory and mathematics of combinatorial methods, readers can use the methods without in-depth knowledge of the underlying mathematics.Accessible to undergraduate students and researchers in computer science and engineering, this book illustrates the practical application of combinatorial methods in software testing. Giving pointers to freely available tools and offering resources on a supplementary website, the book encourages readers to apply these methods in their own testing projects'-- _cProvided by publisher.
520			_a'Software testing has always faced a seemingly intractable problem: for real-world programs, the number of possible input combinations can exceed the number of atoms in the universe, so as a practical matter it is impossible to show through testing that the program works correctly for all inputs. Combinatorial testing offers a (partial) solution. Empirical data show that the number of variables involved in failures is small. Most failures are triggered by only one or two inputs, and the number of variables interacting tails off rapidly, a relationship called the interaction rule. Therefore if we test input combinations for even small numbers of variables, we can provide very strong testing at low cost. As always, there is no'silver bullet' answer to the problem of software assurance, but combinatorial testing has grown rapidly because it works in the real world'-- _cProvided by publisher.
650		0	_aComputer software _xTesting.
650		0	_aCombinatorial analysis.
700	1		_aKacker, Raghu N.
700	1		_aLei, Yu _c(Associate professor of computer science)
856	4	2	_3Cover image _uhttp://images.tandf.co.uk/common/jackets/websmall/978146655/9781466552296.jpg
907			_a.b15865745 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA76.76.T48K844 3
914			_avtls003555516
990			_azsz
991			_aFakulti Tekonologi dan Sains Maklumat
998			_al _b2014-03-04 _cm _da _feng _gflu _y0 _z.b15865745
999			_c566393 _d566393