01846nam 2200373 450 991017260740332120230420154142.01-5090-6597-0(CKB)3710000001362013(NjHacI)993710000001362013(EXLCZ)99371000000136201320230420d2017 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) /Institute of Electrical and Electronics Engineers (IEEE)Piscataway, New Jersey :Institute of Electrical and Electronics Engineers (IEEE),2017.1 online resource (various pagings) illustrations1-5090-6598-9 The aim of the workshop is to provide a forum for researchers and practitioners to present and discuss new ideas, trends and results concerning applying ML to software quality evaluation We expect that the workshop will help in (1) validation of existing and exploring new applications of ML, (2) comparing their efficiency and effectiveness, both among other automated approaches and the human judgment, and (3) adapting ML approaches already used in other areas of science.2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation Computer softwareEvaluationCongressesMachine learningCongressesComputer softwareEvaluationMachine learning005NjHacINjHaclPROCEEDING99101726074033212017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)2509045UNINA