LEADER 01468nam 2200349 450 001 9910510470303321 005 20230829150231.0 035 $a(CKB)5470000000736663 035 $a(NjHacI)995470000000736663 035 $a(EXLCZ)995470000000736663 100 $a20230829d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation /$fFoutse Khomh 210 1$aNew York :$cAssociation for Computing Machinery,$d2020. 215 $a1 online resource (36 pages) 225 0 $aACM Conferences 311 $a1-4503-8124-3 330 $aWelcome to the fourth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2020) to be held virtually on November 16, 2020, co-located with the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020). 606 $aComputer science$vCongresses 615 0$aComputer science 676 $a004 700 $aKhomh$b Foutse$0989738 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910510470303321 996 $aProceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation$93451245 997 $aUNINA