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▼a9783031492693▼9978-3-031-49269-3 |
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▼a10.1007/978-3-031-49269-3▼2doi |
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▼aProduct-Focused Software Process Improvement▼h[electronic resource] :▼b24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part II /▼cedited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li. |
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▼a1st ed. 2024. |
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▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2024. |
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▼aXVI, 155 p. 29 illus., 24 illus. in color.▼bonline resource. |
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▼atext▼btxt▼2rdacontent |
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▼acomputer▼bc▼2rdamedia |
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▼aonline resource▼bcr▼2rdacarrier |
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▼atext file▼bPDF▼2rda |
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▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14484 |
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▼aPoster -- Metrics for Code Smells of ML Pipelines -- Tutorial -- Declarative Process Mining for Software Processes: the RuM toolkit and the Declare4Py Python library -- 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023) -- MaREA: Multi-class Random Forest for Automotive Intrusion Detection -- Forecasting The Developer's Impact in Managing the Technical Debt -- Development of a Desktop Application to Enable Doctors to Remotely Monitor Patients’ Hematological Parameters -- The significance of classical simulations in the adoption of quantum technologies for software development -- Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach -- Enhancing Code Obfuscation Techniques: Exploring the Impact of Artificial Intelligence on Malware Detection -- A perspective on the interplay between 5G and quantum computing for secure algorithm -- Speech Therapy supported by AI and smart assistants -- 2nd Workshop on Engineering Processes and Practices for Quantum Software (PPQS’ 23) -- Integration of Classical and Quantum Services Using an Enterprise Service Bus -- Problem decomposition to leverage quantum computing for optimization problems -- Quantum Algorithm Cards: Streamlining the development of hybrid classical-quantum applications -- Doctoral Symposium -- Simulation-Based Safety Testing of Automated Driving Systems -- Utilization of Machine Learning for the detection of self-admitted vulnerabilities -- Closing the Loop: Towards a Complete Metamorphic Testing Pipeline. |
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▼aThis book constitutes the refereed proceedings of the 24th International Conference on Product-Focused Software Process Improvement, PROFES 2023, which took place in Dornbirn, Austria, in December 2023. The 21 full technical papers, 6 industrial papers, 8 short papers and 1 poster paper were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 11 workshop papers and 3 doctoral symposium papers. The contributions were organized in topical sections as follows: Part I: Software development and project management; machine learning and data science; software analysis and tools; software testing and quality assurance; security, vulnerabilities, and human factors; Part II: Posters; Tutorials; 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023); 2nd Workshop on Engineering Processes and Practicesfor Quantum Software (PPQS’ 23); doctoral symposium. |
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▼aSoftware engineering. |
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▼aOperating systems (Computers). |
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▼aInformation technology▼xManagement. |
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▼aComputer networks . |
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▼aArtificial intelligence. |
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▼aEducation▼xData processing. |
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▼aSoftware Engineering. |
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▼aOperating Systems. |
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▼aComputer Application in Administrative Data Processing. |
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▼aComputer Communication Networks. |
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▼aArtificial Intelligence. |
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▼aComputers and Education. |
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▼aKadgien, Regine.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt |
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▼aJedlitschka, Andreas.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt |
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▼aJanes, Andrea.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt |
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▼aLenarduzzi, Valentina.▼eeditor.▼0(orcid)0000-0003-0511-5133▼1https://orcid.org/0000-0003-0511-5133▼4edt▼4http://id.loc.gov/vocabulary/relators/edt |
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▼aLi, Xiaozhou.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt |
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▼aSpringerLink (Online service) |
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▼tSpringer Nature eBook |
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▼iPrinted edition:▼z9783031492686 |
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▼iPrinted edition:▼z9783031492709 |
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▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14484 |
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▼uhttps://doi.org/10.1007/978-3-031-49269-3 |
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▼aZDB-2-SCS |
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▼aZDB-2-SXCS |
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▼aZDB-2-LNC |
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▼aComputer Science (SpringerNature-11645) |
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▼aComputer Science (R0) (SpringerNature-43710) |