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[null,"1.","Record Nr.",null,"UNINA9910297160003321"]
[null,null,"Autore",null,"Waner, Stefan"]
[null,null,"Titolo",null,"Strumenti quantitativi per la gestione aziendale / Stefan Waner, Steven R. Costenoble"]
[null,null,"Pubbl/distr/stampa",null,"Santarcangelo di Romagna, : Maggioli, c2018"]
[null,null,"ISBN",null,"978-88-916-2120-7"]
[null,null,"Edizione",null,"[2. ed.]"]
[null,null,"Descrizione fisica",null,"XX, 597 p. : ill. ; 24 cm"]
[null,null,"Collana",null,"Idee&Strumenti"]
[null,null,"Locazione",null,"DECBC"]
[null,null,"Collocazione",null,"MSMG26A"]
[{"$nulls":4},"MSMG26B"]
[{"$nulls":4},"MSMG26C"]
[{"$nulls":4},"MSMG26D"]
[{"$nulls":4},"MSMG26E"]
[{"$nulls":4},"MSMG26F"]
[{"$nulls":4},"MSMG26G"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910373922803321"]
[null,null,"Titolo",null,"Software Quality: Quality Intelligence in Software and Systems Engineering : 12th International Conference, SWQD 2020, Vienna, Austria, January 14–17, 2020, Proceedings / / edited by Dietmar Winkler, Stefan Biffl, Daniel Mendez, Johannes Bergsmann"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"9783030355104"]
[{"$nulls":4},"3030355101"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 139 p. 18 illus., 8 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 371"]
[null,null,"Disciplina",null,"005.10685"]
[{"$nulls":4},"005.1 (edition:23)"]
[null,null,"Soggetti",null,"Software engineering"]
[{"$nulls":4},"Electronic data processing - Management"]
[{"$nulls":4},"Software engineering - Management"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"IT Operations"]
[{"$nulls":4},"Software Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Industry Challenges and Collaborations -- Together we are stronger: Evidence-Based Reflections on Industry-Academia Collaboration in Software Testing -- Challenges in Testing Big Data Systems - An Exploratory Survey -- Software Testing Approaches -- Selecting and Prioritizing Regression Test Suites by Production Usage Risk in Time-Constrained Environments -- An Evaluation of Test Suite Minimization Techniques -- Social Aspects in Software Engineering -- Soft Competencies and Satisfaction Levels for Software Engineers: A Unified framework -- Natural Language Processing -- Semantic Similarities in Natural Language Requirements -- Software Quality Assurance Concepts -- On Identifying Similarities in Git Commit Trends - A Comparison Between Clustering and SimSAX -- Code Reviews, Software Inspections, and Code Walkthroughs: Systematic Mapping Study of Research Topics -- Optimising Analytical Software Quality Assurance. ."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 12th Software Quality Days Conference, SWQD 2020, held in Vienna, Austria, in "]
[{"$nulls":4},"January 2020. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2020 is “Quality Intelligence in Software and Systems Engineering”. The 5 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The volume also contains 2 invited talks. The contributions were organized in topical sections named: industry challenges and collaborations; software testing approaches; social aspects in software engineering; natural language processing; and software quality assurance concepts. ."]