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E-book
Author International Conference on the Quality of Information and Communications Technology (13th : 2020 : Online)

Title Quality of information and communications technology : 13th International Conference, QUATIC 2020, Faro, Portugal, September 9-11, 2020, proceedings / Martin Shepperd, Fernando Brito e Abreu, Alberto Rodrigues da Silva, Ricardo Pérez-Castillo (eds.)
Published Cham, Switzerland : Springer, 2020

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Description 1 online resource
Series Communications in Computer and Information Science ; 1266
Communications in computer and information science ; 1266.
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
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
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
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
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
Includes author index
Online resource; title from PDF title page (viewed November 18, 2020)
Subject Information technology -- Quality control -- Congresses
Telecommunication -- Quality control -- Congresses
Quality assurance -- Congresses
Computer science.
Software engineering.
Application software.
Artificial intelligence.
Computer architecture.
Electronic Data Processing
Artificial Intelligence
artificial intelligence.
Information retrieval.
Artificial intelligence.
Systems analysis & design.
Software Engineering.
Computers -- Information Technology.
Computers -- Intelligence (AI) & Semantics.
Computers -- Software Development & Engineering -- General.
Application software
Artificial intelligence
Computer architecture
Computer science
Quality assurance
Software engineering
Telecommunication -- Quality control
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Shepperd, Martin, 1959-
Abreu, Fernando Brito e.
Rodrigues da Silva, Alberto
Perez-Castillo, Ricardo, 1984-
ISBN 9783030587932
3030587932
Other Titles QUATIC 2020