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Quality of Information and Communications Technology

13th International Conference, QUATIC 2020, Faro, Portugal, September 9–11, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Martin Shepperd

    1. Brunel University, London, UK

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  2. Fernando Brito e Abreu

    1. Lisbon University Institute, Lisbon, Portugal

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  3. Alberto Rodrigues da Silva

    1. University of Lisbon, Lisbon, Portugal

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  4. Ricardo Pérez-Castillo

    1. University of Castilla-La Mancha, Talavera de la Reina, Spain

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1266)

Included in the following conference series:

Conference proceedings info: QUATIC 2020.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xxii
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  2. Quality Aspects in Machine Learning, AI and Data Analytics

    1. Front Matter

      Pages 1-1
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    2. Perceived Quality of Artificial Intelligence in Smart Service Systems: A Structured Approach

      • Jens Neuhüttler, Rudolf Fischer, Walter Ganz, Florian Urmetzer
      Pages 3-16

    3. Towards Guidelines for Assessing Qualities of Machine Learning Systems

      • Julien Siebert, Lisa Joeckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba et al.
      Pages 17-31

    4. Data Cleaning: A Case Study with OpenRefine and Trifacta Wrangler

      • Dessislava Petrova-Antonova, Rumyana Tancheva
      Pages 32-40

    5. NSP Dataset and Offline Signature Verification

      • Dmitry V. Bakhteev, Roman Sudarikov
      Pages 41-49

  3. Evidence-Based Software Quality Engineering

    1. Front Matter

      Pages 51-51
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    2. Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges

      • Angeliki-Agathi Tsintzira, Elvira-Maria Arvanitou, Apostolos Ampatzoglou, Alexander Chatzigeorgiou
      Pages 53-67

    3. On the Temporality of Introducing Code Technical Debt

      • Georgios Digkas, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Paris Avgeriou
      Pages 68-82

    4. Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective

      • Steve Counsell, Steve Swift, Mahir Arzoky, Giuseppe Destefanis
      Pages 83-90

  4. Human and Artificial Intelligences for Software Evolution

    1. Front Matter

      Pages 91-91
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    2. Suggesting Descriptive Method Names: An Exploratory Study of Two Machine Learning Approaches

      • Oleksandr Zaitsev, Stephane Ducasse, Alexandre Bergel, Mathieu Eveillard
      Pages 93-106

    3. Challenges for Layout Validation: Lessons Learned

      • Santiago Bragagnolo, Benoît Verhaeghe, Abderrahmane Seriai, Mustapha Derras, Anne Etien
      Pages 107-119

    4. Towards Automated Taxonomy Generation for Grouping App Reviews: A Preliminary Empirical Study

      • Saurabh Malgaonkar, Sherlock A. Licorish, Bastin Tony Roy Savarimuthu
      Pages 120-134

    5. Zones of Pain: Visualising the Relationship Between Software Architecture and Defects

      • Jean Petrić, Tracy Hall, David Bowes
      Pages 135-143

    6. An Empirical Study on the Persistence of SpotBugs Issues in Open-Source Software Evolution

      • Luigi Lavazza, Davide Tosi, Sandro Morasca
      Pages 144-151

  5. Process Modeling, Improvement and Assessment

    1. Front Matter

      Pages 153-153
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    2. Applying Continual Service Improvement Practices to Study Quality of Healthcare Information System Services: A Case Study

      • Sanna Heikkinen, Marko Jäntti, Kaija Saranto
      Pages 155-168

    3. A Personal Opinion Survey on Process Compliance Checking in the Safety Context

      • Julieth Patricia Castellanos Ardila, Barbara Gallina
      Pages 169-183

    4. Systematic Literature Review of DevOps Models

      • Monika Gasparaite, Kristina Naudziunaite, Saulius Ragaisis
      Pages 184-198
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About this book

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.

Editors and Affiliations

  • Brunel University, London, UK

    Martin Shepperd

  • Lisbon University Institute, Lisbon, Portugal

    Fernando Brito e Abreu

  • University of Lisbon, Lisbon, Portugal

    Alberto Rodrigues da Silva

  • University of Castilla-La Mancha, Talavera de la Reina, Spain

    Ricardo Pérez-Castillo

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