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312 results on '"Ampatzoglou, Apostolos"'

1. Studying the Evolution of Library Utilization in Maven Projects: A Metric-Based Approach

Author

Kolyda, Maria, Kostoglou, Eirini, Nikolaidis, Nikolaos, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tekinerdoğan, Bedir, editor, Spalazzese, Romina, editor, Sözer, Hasan, editor, Bonfanti, Silvia, editor, and Weyns, Danny, editor

Published
2024
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2. SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software

Author

Siavvas, Miltiadis, Tsoukalas, Dimitrios, Marantos, Charalambos, Papadopoulos, Lazaros, Lamprakos, Christos, Matei, Oliviu, Strydis, Christos, Siddiqi, Muhammad Ali, Chrobocinski, Philippe, Filus, Katarzyna, Domańska, Joanna, Avgeriou, Paris, Ampatzoglou, Apostolos, Soudris, Dimitrios, Chatzigeorgiou, Alexander, Gelenbe, Erol, Kehagias, Dionysios, and Tzovaras, Dimitrios

Published
2024
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3. Technical Debt Management in OSS Projects: An Empirical Study on GitHub

Author

Li, Zengyang, Peng, Yilin, Liang, Peng, Ampatzoglou, Apostolos, Mo, Ran, Liu, Hui, and Qi, Xiaoxiao

Subjects
Computer Science - Software Engineering
Abstract

Technical debt (TD) refers to delayed tasks and immature artifacts that may bring short-term benefits but incur extra costs of change during maintenance and evolution in the long term. TD has been extensively studied in the past decade, and numerous open source software (OSS) projects were used to explore specific aspects of TD and validate various approaches for TD management (TDM). However, there still lacks a comprehensive understanding on the practice of TDM in OSS development, which penetrates the OSS community's perception of the TD concept and how TD is managed in OSS development. To this end, we conducted an empirical study on the whole GitHub to explore the adoption and execution of TDM based on issues in OSS projects. We collected 35,278 issues labeled as TD (TD issues) distributed over 3,598 repositories in total from the issue tracking system of GitHub between 2009 and 2020. The findings are that: (1) the OSS community is embracing the TD concept; (2) the analysis of TD instances shows that TD may affect both internal and external quality of software systems; (3) only one TD issue was identified in 31.1% of the repositories and all TD issues were identified by only one developer in 69.0% of the repositories; (4) TDM was ignored in 27.3% of the repositories after TD issues were identified; and (5) among the repositories with TD labels, 32.9% have abandoned TDM while only 8.2% adopt TDM as a consistent practice. These findings provide valuable insights for practitioners in TDM and promising research directions for further investigation., Comment: 15 pages, 8 images, 10 tables, Manuscript submitted to a Journal (2022)

Published
2022

6. Software Engineering Practices for Scientific Software Development: A Systematic Mapping Study

Author

Arvanitou, Elvira-Maria, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, and Carver, Jeffrey C.

Subjects
Computer Science - Software Engineering
Abstract

Background: The development of scientific software applications is far from trivial, due to the constant increase in the necessary complexity of these applications, their increasing size, and their need for intensive maintenance and reuse. Aim: To this end, developers of scientific software (who usually lack a formal computer science background) need to use appropriate software engineering (SE) practices. This paper describes the results of a systematic mapping study on the use of SE for scientific application development and their impact on software quality. Method: To achieve this goal we have performed a systematic mapping study on 359 papers. We first describe a catalogue of SE practices used in scientific software development. Then, we discuss the quality attributes of interest that drive the application of these practices, as well as tentative side-effects of applying the practices on qualities. Results: The main findings indicate that scientific software developers are focusing on practices that improve implementation productivity, such as code reuse, use of third-party libraries, and the application of "good" programming techniques. In addition, apart from the finding that performance is a key-driver for many of these applications, scientific software developers also find maintainability and productivity to be important. Conclusions: The results of the study are compared to existing literature, are interpreted under a software engineering prism, and various implications for researchers and practitioners are provided. One of the key findings of the study, which is considered as important for driving future research endeavors is the lack of evidence on the trade-offs that need to be made when applying a software practice, i.e., negative (indirect) effects on other quality attributes., Comment: Accepted in Journal of Systems and Software

Published
2020

7. Can Clean New Code reduce Technical Debt Density?

Author

Digkas, George, Chatzigeorgiou, Alexander, Ampatzoglou, Apostolos, and Avgeriou, Paris

Subjects
Computer Science - Software Engineering
Abstract

While technical debt grows in absolute numbers as software systems evolve over time, the density of technical debt (technical debt divided by lines of code) is reduced in some cases. This can be explained by either the application of refactorings or the development of new artifacts with limited Technical Debt. In this paper we explore the second explanation, by investigating the relation between the amount of Technical Debt in new code and the evolution of Technical Debt in the system. To this end, we compare the Technical Debt Density of new code with existing code, and we investigate which of the three major types of code changes (additions, deletions and modifications) is primarily responsible for changes in the evolution of Technical Debt density. Furthermore, we study whether there is a relation between code quality practices and the 'cleanness' of new code. To obtain the required data, we have performed a large-scale case study on twenty-seven open-source software projects by the Apache Software Foundation, analyzing 66,661 classes and 56,890 commits. The results suggest that writing "clean" (or at least "cleaner") new code can be an efficient strategy for reducing Technical Debt Density, and thus preventing software decay over time. The findings also suggest that projects adopting an explicit policy for quality improvement, e.g. through discussions on code quality in board meetings, are associated with a higher frequency of cleaner new code commits. Therefore, we champion the establishment of processes that monitor the density of Technical Debt of new code to control the accumulation of Technical Debt in a software system.

Published
2020
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10. Technical Debt in Service-Oriented Software Systems

Author

Nikolaidis, Nikolaos, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, Tsekeridou, Sofia, Piperidis, Avraam, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Taibi, Davide, editor, Kuhrmann, Marco, editor, Mikkonen, Tommi, editor, Klünder, Jil, editor, and Abrahamsson, Pekka, editor

Published
2022
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11. An Empirical Evaluation of the Usefulness of Word Embedding Techniques in Deep Learning-Based Vulnerability Prediction

Author

Kalouptsoglou, Ilias, Siavvas, Miltiadis, Kehagias, Dionysios, Chatzigeorgiou, Alexandros, Ampatzoglou, Apostolos, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gelenbe, Erol, editor, Jankovic, Marija, editor, Kehagias, Dionysios, editor, Marton, Anna, editor, and Vilmos, Andras, editor

Published
2022
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15. Towards a Remote Warehouse Management System

Author

Stamelos, Ioannis, Avratoglou, Charalampos, Tzinis, Panayotis, Kakarontzas, George, Chatzigeorgiou, Alexander, Ampatzoglou, Apostolos, Folinas, Dimitris, Stratigakis, Iakovos, Karavidas, Lampros, Volioti, Christina, Amanatidis, Theodoros, Deliga, Anastasia, Dimitrakopoulos, Charalampos, Tsiatsos, Thrasyvoulos, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, and May, Dominik, editor

Published
2021
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18. Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges

Author

Tsintzira, Angeliki-Agathi, Arvanitou, Elvira-Maria, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Shepperd, Martin, editor, Brito e Abreu, Fernando, editor, Rodrigues da Silva, Alberto, editor, and Pérez-Castillo, Ricardo, editor

Published
2020
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19. On the Temporality of Introducing Code Technical Debt

Author

Digkas, Georgios, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, Avgeriou, Paris, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Shepperd, Martin, editor, Brito e Abreu, Fernando, editor, Rodrigues da Silva, Alberto, editor, and Pérez-Castillo, Ricardo, editor

Published
2020
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20. Technical Debt Management and Energy Consumption Evaluation in Implantable Medical Devices: The SDK4ED Approach

Author

Marantos, Charalampos, Tsintzira, Angeliki-Agathi, Papadopoulos, Lazaros, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, Soudris, Dimitrios, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Orailoglu, Alex, editor, Jung, Matthias, editor, and Reichenbach, Marc, editor

Published
2020
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23. Local and Global Explainability for Technical Debt Identification

Author

Tsoukalas, Dimitrios, Mittas, Nikolaos, Arvanitou, Elvira-Maria, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander, and Kechagias, Dionysios

Abstract

In recent years, we have witnessed an important increase in research focusing on how machine learning (ML) techniques can be used for software quality assessment and improvement. However, the derived methodologies and tools lack transparency, due to the black-box nature of the employed machine learning models, leading to decreased trust in their results. To address this shortcoming, in this paper we extend the state-of-the-art and -practice by building explainable AI models on top of machine learning ones, to interpret the factors (i.e. software metrics) that constitute a module as in risk of having high technical debt (HIGH TD), to obtain thresholds for metric scores that are alerting for poor maintainability, and finally, we dig further to achieve local interpretation that explains the specific problems of each module, pinpointing to specific opportunities for improvement during TD management. To achieve this goal, we have developed project-specific classifiers (characterizing modules as HIGH and NOT-HIGH TD) for 21 open-source projects, and we explain their rationale using the SHapley Additive exPlanation (SHAP) analysis. Based on our analysis, complexity, comments ratio, cohesion, nesting of control flow statements, coupling, refactoring activity, and code churn are the most important reasons for characterizing classes as in HIGH TD risk. The analysis is complemented with global and local means of interpretation, such as metric thresholds and case-by-case reasoning for characterizing a class as in-risk of having HIGH TD. The results of the study are compared against the state-of-the-art and are interpreted from the point of view of both researchers and practitioners.

Published
2024
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25. A practical approach for technical debt prioritization based on class‐level forecasting.

Author

Tsoukalas, Dimitrios, Siavvas, Miltiadis, Kehagias, Dionysios, Ampatzoglou, Apostolos, and Chatzigeorgiou, Alexander

Subjects
FORECASTING, COMPUTER software industry, DATA visualization, EMPIRICAL research, REPAYMENTS
Abstract

Monitoring technical debt (TD) is considered highly important for software companies, as it provides valuable information on the effort required to repay TD and in turn maintain the system. When it comes to TD repayment, however, developers are often overwhelmed with a large volume of TD liabilities that they need to fix, rendering the procedure effort demanding. Hence, prioritizing TD liabilities is of utmost importance for effective TD repayment. Existing approaches rely on the current TD state of the system; however, prioritization would be more efficient by also considering its future evolution. To this end, the present work proposes a practical approach for prioritization of TD liabilities by incorporating information retrieved from TD forecasting techniques, emphasizing on the class‐level granularity to provide highly actionable results. Specifically, the proposed approach considers the change proneness and forecasted TD evolution of software artifacts and combines it with proper visualization techniques, to enable the early identification of classes that are more likely to become unmaintainable. To demonstrate and evaluate the approach, an empirical study is conducted on six real‐world applications. The proposed approach is expected to facilitate developers better plan refactoring activities, in order to manage TD promptly and avoid unforeseen situations long term. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Design Approaches for Critical Embedded Systems: A Systematic Mapping Study

Author

Feitosa, Daniel, Ampatzoglou, Apostolos, Avgeriou, Paris, Affonso, Frank J., Andrade, Hugo, Felizardo, Katia R., Nakagawa, Elisa Y., Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Damiani, Ernesto, editor, Spanoudakis, George, editor, and Maciaszek, Leszek, editor

Published
2018
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30. Reusability Index: A Measure for Assessing Software Assets Reusability

Author

Ampatzoglou, Apostolos, Bibi, Stamatia, Chatzigeorgiou, Alexander, Avgeriou, Paris, Stamelos, Ioannis, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Capilla, Rafael, editor, Gallina, Barbara, editor, and Cetina, Carlos, editor

Published
2018
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33. Educational Programming Environments for Enhancing Conceptual Design in the Object-Oriented Paradigm: A Systematic Mapping Study.

Author

Tsichouridis, Alexandros, Xinogalos, Stelios, and Ampatzoglou, Apostolos

Subjects
CONCEPTUAL design, SCHOOL environment, OBJECT-oriented programming, EDUCATIONAL technology, EDUCATIONAL games, RESEARCH questions
Abstract

Teaching and learning programming, and especially Object-Oriented Programming (OOP), is a complicated and challenging task. Students have to comprehend various OOP concepts and utilize them for designing object-oriented programs. Various types of educational programming environments, such as microworlds and educational games, have been devised for supporting novices mainly in comprehending OOP concepts. However, such environments do not usually support students in the conceptual design of object-oriented programs of a considerable length and complexity. In this paper, we focus on a systematic mapping study (SMS) of educational programming environments for enhancing the conceptual design in OOP, which relies on modularity, abstraction and encapsulation. The research questions investigate the intended learning outcomes, the empirical evidence on the effectiveness, and the teaching/learning technologies used by educational programming environments for enhancing the conceptual design in OOP. The findings can support instructors in selecting appropriate tools for their courses and researchers in the field of educational programming environments for OOP. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Towards a Remote Warehouse Management System

Author

Stamelos, Ioannis, primary, Avratoglou, Charalampos, additional, Tzinis, Panayotis, additional, Kakarontzas, George, additional, Chatzigeorgiou, Alexander, additional, Ampatzoglou, Apostolos, additional, Folinas, Dimitris, additional, Stratigakis, Iakovos, additional, Karavidas, Lampros, additional, Volioti, Christina, additional, Amanatidis, Theodoros, additional, Deliga, Anastasia, additional, Dimitrakopoulos, Charalampos, additional, and Tsiatsos, Thrasyvoulos, additional

Published
2020
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36. The Evolution of Design Pattern Grime: An Industrial Case Study

Author

Feitosa, Daniel, Avgeriou, Paris, Ampatzoglou, Apostolos, Nakagawa, Elisa Yumi, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Felderer, Michael, editor, Méndez Fernández, Daniel, editor, Turhan, Burak, editor, Kalinowski, Marcos, editor, Sarro, Federica, editor, and Winkler, Dietmar, editor

Published
2017
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40. A Financial Approach for Managing Interest in Technical Debt

Author

Ampatzoglou, Areti, Ampatzoglou, Apostolos, Avgeriou, Paris, Chatzigeorgiou, Alexander, van der Aalst, Wil, Series editor, Mylopoulos, John, Series editor, Rosemann, Michael, Series editor, Shaw, Michael J., Series editor, Szyperski, Clemens, Series editor, and Shishkov, Boris, editor

Published
2016
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41. A Bayesian Belief Network for Modeling Open Source Software Maintenance Productivity

Author

Bibi, Stamatia, Ampatzoglou, Apostolos, Stamelos, Ioannis, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Murayama, Yuko, Series Editor, Gulliksen, Jan, Series Editor, Whitehouse, Diane, Series Editor, Rauterberg, Matthias, Series Editor, Pras, Aiko, Editorial Board Member, Sakarovitch, Jacques, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Crowston, Kevin, editor, Hammouda, Imed, editor, Lundell, Björn, editor, Robles, Gregorio, editor, Gamalielsson, Jonas, editor, and Lindman, Juho, editor

Published
2016
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42. A Case Study on the Availability of Open-Source Components for Game Development

Author

Paschali, Maria-Eleni, Ampatzoglou, Apostolos, Bibi, Stamatia, Chatzigeorgiou, Alexander, Stamelos, Ioannis, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kapitsaki, Georgia M., editor, and Santana de Almeida, Eduardo, editor

Published
2016
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43. Quality Rule Violations in SharePoint Applications: An Empirical Study in Industry

Author

Ampatzoglou, Apostolos, Avgeriou, Paris, Koenders, Thom, van Alphen, Pascal, Stamelos, Ioannis, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Abrahamsson, Pekka, editor, Jedlitschka, Andreas, editor, Nguyen Duc, Anh, editor, Felderer, Michael, editor, Amasaki, Sousuke, editor, and Mikkonen, Tommi, editor

Published
2016
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44. What Is Being Patented in Software Engineering?: Empirical Evidence From the U.S. Patent and Trademark Office

Author

Georgiou, Konstantinos, Mittas, Nikolaos, Ampatzoglou, Apostolos, Chatzigeorgiou, Alexander N., and Angelis, Lefteris

Abstract

In this study, we collect software engineering patents’ data and conduct an exploratory analysis to describe the U.S. Patent and Trademark Office patent landscape in terms of what is being patented (software engineering aspects), by whom (organizations), and where (countries).

Published
2024
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47. SmartCLIDE design pattern assistant: A decision‐tree based approach

Author

Polyzoidou, Eleni, primary, Papagiannaki, Evangelia, additional, Nikolaidis, Nikolaos, additional, Ampatzoglou, Apostolos, additional, Mittas, Nikolaos, additional, Arvanitou, Elvira Maria, additional, Chatzigeorgiou, Alexander, additional, Manolis, George, additional, and Manganopoulou, Evdoxia, additional

Published
2023
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