LEADER 01032cam0-2200313---450- 001 990005759520403321 005 20090825092742.0 035 $a000575952 035 $aFED01000575952 035 $a(Aleph)000575952FED01 035 $a000575952 100 $a19990604d1973----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aaf------001yy 200 1 $aIntroduzione all'interpretazione articolatoria dei dati spettrografici$fEmanuela Magno Caldognetto 210 $aBologna$cPatron$dc1973 215 $a85 p., 2 tav.$d22 cm 225 1 $aQuaderni del Centro di studi per le ricerche di fonetica del C.N.R. presso l'Universita di Padova$v3 610 0 $aFonetica sperimentale 676 $a414 700 1$aMagno Caldognetto,$bEmanuela$0203389 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005759520403321 952 $a414 MAG 2$bIst.glott. s.i.$fFLFBC 959 $aFLFBC 996 $aIntroduzione all'interpretazione articolatoria dei dati spettrografici$9570380 997 $aUNINA LEADER 03478nam 22006975 450 001 9910298983803321 005 20251117075711.0 010 $a3-662-43429-6 024 7 $a10.1007/978-3-662-43429-1 035 $a(CKB)3710000000239429 035 $a(EBL)1966897 035 $a(OCoLC)893674224 035 $a(SSID)ssj0001353808 035 $a(PQKBManifestationID)11751751 035 $a(PQKBTitleCode)TC0001353808 035 $a(PQKBWorkID)11322353 035 $a(PQKB)11453026 035 $a(MiAaPQ)EBC1966897 035 $a(DE-He213)978-3-662-43429-1 035 $a(PPN)18134940X 035 $a(EXLCZ)993710000000239429 100 $a20140915d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAutomatic Generation of Combinatorial Test Data /$fby Jian Zhang, Zhiqiang Zhang, Feifei Ma 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (97 p.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 300 $aDescription based upon print version of record. 311 08$a3-662-43428-8 320 $aIncludes bibliographical references. 327 $aIntroduction to Combinatorial Testing -- Mathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics. 330 $aThis book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aSoftware engineering 606 $aComputer science?Mathematics 606 $aArtificial intelligence 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aMath Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17044 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aSoftware engineering. 615 0$aComputer science?Mathematics. 615 0$aArtificial intelligence. 615 14$aSoftware Engineering. 615 24$aMath Applications in Computer Science. 615 24$aArtificial Intelligence. 676 $a004 676 $a004.0151 676 $a005.1 676 $a006.3 700 $aZhang$b Jian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0652044 702 $aZhang$b Zhiqiang$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMa$b Feifei$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298983803321 996 $aAutomatic Generation of Combinatorial Test Data$92281732 997 $aUNINA