Description |
1 online resource |
Series |
Communications in Computer and Information Science ; 1266 |
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Communications in computer and information science ; 1266.
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Contents |
Intro -- Preface -- Technical Papers Summary -- Invited Talks -- SEDES Doctoral Symposium -- Acknowledgments -- Organization -- Contents -- Quality Aspects in Machine Learning, AI and Data Analytics -- Perceived Quality of Artificial Intelligence in Smart Service Systems: A Structured Approach -- 1 Introduction -- 2 AI-Based Smart Service Systems -- 2.1 Characterization of Smart Service Systems -- 2.2 Artificial Intelligence in Smart Service Systems -- 3 Quality Aspects for Smart Service Systems -- 3.1 Relevance and Requirements |
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3.2 Existing Quality Concepts in the Context of Smart Service Systems -- 3.3 Assessment of Existing Approaches -- 4 Integrative Conceptual Framework for Quality Assessment of AI-Based Smart Service Systems -- 4.1 Structure of the Integrative Conceptual Framework -- 4.2 Quality Aspects for AI-Based Smart Service Systems -- 5 Summary and Outlook -- References -- Towards Guidelines for Assessing Qualities of Machine Learning Systems -- 1 Introduction -- 2 Related Work -- 3 Views on ML Systems -- 4 Quality Modeling for ML Systems -- 5 Discussion -- 6 Lessons Learned and Conclusions -- References |
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Data Cleaning: A Case Study with OpenRefine and Trifacta Wrangler -- 1 Introduction -- 2 Data Quality and Cleaning -- 3 Case Study -- 3.1 Data Cleaning with OpenRefine -- 3.2 Data Cleaning with Trifacta Wrangler -- 4 Result Analysis -- 5 Conclusions -- References -- NSP Dataset and Offline Signature Verification -- 1 Introduction -- 2 Related Works -- 3 NSP Dataset Collection -- 4 Types of Signatures -- 5 Experiments -- 5.1 Experiment Results -- 6 Conclusion/Discussion -- References -- Evidence-Based Software Quality Engineering |
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Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges -- 1 Introduction -- 2 Related Work and Background Information -- 3 Study Design -- 4 Results -- 5 TDM Through Machine Learning -- 6 Threats to Validity -- 7 Discussion/Conclusions -- References -- On the Temporality of Introducing Code Technical Debt -- 1 Introduction -- 2 Related Work -- 3 Background Information -- 3.1 Identifying New TD Items Along Evolution -- 3.2 Fluctuation of Software Metrics -- 4 Case Study Design -- 4.1 Research Questions -- 4.2 Cases and Units of Analysis -- 4.3 Data Collection |
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4.4 Data Analysis -- 5 Results -- 5.1 Fluctuation Analysis (RQ1) -- 5.2 Correlation Analysis: Fluctuation vs. Activity (RQ2) -- 6 Discussion -- 6.1 Interpretation of Results -- 6.2 Implications to Researchers and Practitioners -- 7 Threats to Validity -- 8 Conclusions -- References -- Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective -- 1 Introduction -- 2 Preliminaries -- 2.1 Taxonomy of van Deursen and Moonen -- 2.2 Systems Analysed -- 2.3 V & M Decomposition -- 3 Data Analysis -- 3.1 Buggy Classes -- 3.2 Non-buggy Classes -- 4 Discussion |
Summary |
This book constitutes the refereed proceedings of the 13th International Conference on the Quality of Information and Communications Technology, QUATIC 2020, held in Faro, Portugal*, in September 2020. The 27 full papers and 12 short papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections: quality aspects in machine learning, AI and data analytics; evidence-based software quality engineering; human and artificial intelligences for software evolution; process modeling, improvement and assessment; software quality education and training; quality aspects in quantum computing; safety, security and privacy; ICT verification and validation; RE, MDD and agile. *The conference was held virtually due to the COVID-19 pandemic |
Notes |
"Unfortunately, due to the effects of the COVID-19 pandemic, QUATIC 2020 was conducted as a fully online conference."--Preface |
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Includes author index |
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Online resource; title from PDF title page (viewed November 18, 2020) |
Subject |
Information technology -- Quality control -- Congresses
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Telecommunication -- Quality control -- Congresses
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Quality assurance -- Congresses
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Computer science.
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Software engineering.
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Application software.
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Artificial intelligence.
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Computer architecture.
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Electronic Data Processing
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Artificial Intelligence
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artificial intelligence.
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Information retrieval.
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Artificial intelligence.
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Systems analysis & design.
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Software Engineering.
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Computers -- Information Technology.
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Computers -- Intelligence (AI) & Semantics.
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Computers -- Software Development & Engineering -- General.
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Application software
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Artificial intelligence
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Computer architecture
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Computer science
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Quality assurance
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Software engineering
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Telecommunication -- Quality control
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Shepperd, Martin, 1959-
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Abreu, Fernando Brito e.
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Rodrigues da Silva, Alberto
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Perez-Castillo, Ricardo, 1984-
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ISBN |
9783030587932 |
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3030587932 |
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