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000 nam5i
001 2210080933468
003 DE-He213
005 20250321102056
007 cr nn 008mamaa
008 231201s2024 sz | s |||| 0|eng d
020 a97830314926629978-3-031-49266-2
024 a10.1007/978-3-031-49266-22doi
040 a221008
050 aQA76.758
072 aUMZ2bicssc
072 aCOM0512302bisacsh
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245 00 aProduct-Focused Software Process Improvementh[electronic resource] :b24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part I /cedited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li.
250 a1st ed. 2024.
264 aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.
300 aXVI, 529 p. 121 illus., 103 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aLecture Notes in Computer Science,x1611-3349 ;v14483
505 a Software Development and Project Management -- Virtual Reality Collaboration Platform for Agile Software Development -- Effects of Ways of Working on Changes to Understanding of Benefits – Comparing Projects and Continuous Product Development -- To Memorize or to Document: A Survey of Developers’ Views on Knowledge Availability -- Facilitating Security Champions in software projects - an experience report from Visma -- Benefits and Challenges of an Internal Corporate Accelerator in a Software Company: An Action-Research Study -- A Process for Scenario Prioritization and Selection in Simulation-Based Safety Testing of Automated Driving Systems -- The Journey to Serverless Migration: An Empirical Analysis of Intentions, Strategies, and Challenges -- On the Role of Font Formats in Building Efficient Web Applications -- Web Image Formats: Assessment of Their Real-World-Usageand Performance across Popular Web Browsers -- Machine Learning and Data Science -- Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning -- Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey -- A Stochastic Approach Based on Rational Decision-Making for Analyzing Software Engineering Project Status -- CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems -- Comparing machine learning algorithms for medical time-series data -- What Data Scientists (Care to) Recall -- Software Analysis and Tools -- Using AI-Based Code Completion for Domain Specific Languages -- Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management -- Automatic Fixation of Decompilation Quirks Using Pre-Trained Language Model -- Log Drift Impact on Online Anomaly Detection Workflows -- Leveraging Historical Data to Support User Story Estimation -- Design Patterns Understanding and Use in the Automotive Industry: An Interview Study -- Software Testing and Quality Assurance -- An Experience in the Evaluation of Fault Prediction -- Is It the Best Solution? Testing An Optimisation Algorithm with Metamorphic Testing -- Impacts of Program Structures on Code Coverage of Generated Test Suites -- Anomaly Detection Through Container Testing: A Survey of Company Practices -- The Effects of Soft Assertion on Spectrum-based Fault Localization -- Characterizing Requirements Smells -- Do Exceptional Behavior Tests Matter on Spectrum-based Fault Localization -- On Deprecated API Usages: an Exploratory Study of Top-starred Projects on GitHub -- Security, Vulnerabilities, and Human Factors -- Evaluating Microservice Organizational Coupling based on Cross-service Contribution -- On Fixing Bugs: Do Personality Traits Matter -- A Rapid Review on Software Vulnerabilities and Embedded, Cyber-Physical, and IoT Systems -- Social Sustainability Approaches for Software Development: A Systematic Literature Review -- The Testing Hopscotch Model – Six Complementary Profiles Replacing the Perfect All-Round Tester -- Continuous Experimentation and Human Factors An Exploratory Study.
520 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, 8 short papers, and 1 poster paper presented in this volume were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 12 and 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 Practices for Quantum Software (PPQS’ 23); doctoral symposium. .
650 aSoftware engineering.
650 aInformation technologyxManagement.
650 aComputer networks .
650 aArtificial intelligence.
650 aEducationxData processing.
650 aSoftware Engineering.
650 aComputer Application in Administrative Data Processing.
650 aComputer Communication Networks.
650 aArtificial Intelligence.
650 aComputers and Education.
700 aKadgien, Regine.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aJedlitschka, Andreas.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aJanes, Andrea.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aLenarduzzi, Valentina.eeditor.0(orcid)0000-0003-0511-51331https://orcid.org/0000-0003-0511-51334edt4http://id.loc.gov/vocabulary/relators/edt
700 aLi, Xiaozhou.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9783031492655
776 iPrinted edition:z9783031492679
830 aLecture Notes in Computer Science,x1611-3349 ;v14483
856 uhttps://doi.org/10.1007/978-3-031-49266-2
912 aZDB-2-SCS
912 aZDB-2-SXCS
912 aZDB-2-LNC
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Product-Focused Software Process Improvement[electronic resource] :24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part I /edited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li
Material type
전자책
Title
Product-Focused Software Process Improvement[electronic resource] :24th International Conference, PROFES 2023, Dornbirn, Austria, December 10–13, 2023, Proceedings, Part I /edited by Regine Kadgien, Andreas Jedlitschka, Andrea Janes, Valentina Lenarduzzi, Xiaozhou Li
판 사항
1st ed. 2024.
Physical Description
XVI, 529 p 121 illus, 103 illus in color online resource.
Keyword
This 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, 8 short papers, and 1 poster paper presented in this volume were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 12 and 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 Practices for Quantum Software (PPQS’ 23); doctoral symposium. .
내용주기
Software Development and Project Management / Virtual Reality Collaboration Platform for Agile Software Development / Effects of Ways of Working on Changes to Understanding of Benefits – Comparing Projects and Continuous Product Development / To Memorize or to Document: A Survey of Developers’ Views on Knowledge Availability / Facilitating Security Champions in software projects - an experience report from Visma / Benefits and Challenges of an Internal Corporate Accelerator in a Software Company: An Action-Research Study / A Process for Scenario Prioritization and Selection in Simulation-Based Safety Testing of Automated Driving Systems / The Journey to Serverless Migration: An Empirical Analysis of Intentions, Strategies, and Challenges / On the Role of Font Formats in Building Efficient Web Applications / Web Image Formats: Assessment of Their Real-World-Usageand Performance across Popular Web Browsers / Machine Learning and Data Science / Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning / Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey / A Stochastic Approach Based on Rational Decision-Making for Analyzing Software Engineering Project Status / CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems / Comparing machine learning algorithms for medical time-series data / What Data Scientists (Care to) Recall / Software Analysis and Tools / Using AI-Based Code Completion for Domain Specific Languages / Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management / Automatic Fixation of Decompilation Quirks Using Pre-Trained Language Model / Log Drift Impact on Online Anomaly Detection Workflows / Leveraging Historical Data to Support User Story Estimation / Design Patterns Understanding and Use in the Automotive Industry: An Interview Study / Software Testing and Quality Assurance / An Experience in the Evaluation of Fault Prediction / Is It the Best Solution? Testing An Optimisation Algorithm with Metamorphic Testing / Impacts of Program Structures on Code Coverage of Generated Test Suites / Anomaly Detection Through Container Testing: A Survey of Company Practices / The Effects of Soft Assertion on Spectrum-based Fault Localization / Characterizing Requirements Smells / Do Exceptional Behavior Tests Matter on Spectrum-based Fault Localization / On Deprecated API Usages: an Exploratory Study of Top-starred Projects on GitHub / Security, Vulnerabilities, and Human Factors / Evaluating Microservice Organizational Coupling based on Cross-service Contribution / On Fixing Bugs: Do Personality Traits Matter / A Rapid Review on Software Vulnerabilities and Embedded, Cyber-Physical, and IoT Systems / Social Sustainability Approaches for Software Development: A Systematic Literature Review / The Testing Hopscotch Model – Six Complementary Profiles Replacing the Perfect All-Round Tester / Continuous Experimentation and Human Factors An Exploratory Study.
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