RuG - SEARCH
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Research

Active Projects

Sustainable Cloud

This project aims to develop a sustainability-aware architecting framework specifically for cloud-based software services which incorporates all dimensions of system sustainability. The framework is structured around the use of sustainability indicators, one per dimension, as the means of abstracting away from dimension-specific concerns.

Funding

NWO

Status

In Progress

Detecting Similarities between Software Systems Based on NLP Techniques

This project aims to form clusters of similarly scoped software systems, based on an NLP-informed taxonomy. This is similar to a biological classification, where different species (i.e., software systems) might share very few similarities, but they might belong to the same family (i.e., application domain)

Funding

Status

In Progress

The Impact of Natural Language Processing Approach on the Detection of Technical Debt

This project aims to increase the accuracy of automatic classification and, through it, eliminate a significant portion of the costs relating to technical debt detection.

Funding

Kemendikbudristek

Status

In Progress

Past Projects

Recent Publications

See the complete list here.

Mining for cost awareness in the infrastructure as code artifacts of cloud-based applications: An exploratory study

Feitosa, D., Penca, M., Berardi, B., Boza, R-D. & Andrikopoulos, V., 2024, In: Journal of Systems and Software. 215, 14 p., 112112.

Architecting for sustainability of and in the cloud: A systematic literature review

Ahmadisakha, S. & Andrikopoulos, V., 2024, In: Information and Software Technology. 171, 19 p., 107459.

Pattern-based serverless data processing pipelines for Function-as-a-Service orchestration systems

Mathew, A., Andrikopoulos, V., Blaauw, F. J. & Karastoyanova, D., 2024, In: Future generation computer systems. 154, p. 87-100 14 p.

What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity

Kudrjavets, G., Kumar, A., Thomas, J. & Rastogi, A., 2024, ICSE-SEIP '24: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. ACM Press, p. 405-407 3 p.

The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata

Kudrjavets, G., Kumar, A., Thomas, J. & Rastogi, A., 2024, ICSE-SEIP '24: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. ACM Press, p. 134-136 3 p.

Technical debt management automation: State of the art and future perspectives

Biazotto, J. P., Feitosa, D., Avgeriou, P. & Nakagawa, E. Y., 2024, In: Information and Software Technology. 167, 20 p., 107375.

A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT

Telikani, A., Rudbardeh, N. E., Soleymanpour, S., Shahbahrami, A., Shen, J., Gaydadjiev, G. & Hassanpour, R., 2024, In: Ieee transactions on industrial informatics. 20, 3, p. 3880-3890 11 p.

A metrics-based approach for selecting among various refactoring candidates

Nikolaidis, N., Mittas, N., Ampatzoglou, A., Feitosa, D. & Chatzigeorgiou, A., 2024, In: Empirical software engineering. 29, 1, 29 p., 25.

Polyglot Software Development: Wait, What?

Mussbacher, G., Combemale, B., Kienzle, J., Burgueno, L., Garcia-Dominguez, A., Jezequel, J. M., Jouneaux, G., Khelladi, D. E., Mosser, S., Pulgar, C., Sahraoui, H., Schiedermeier, M. & van der Storm, T., 2024, (E-pub ahead of print) In: Ieee software.

Management of Self-Admitted Technical Debt using Machine Learning

Li, Y., 2024, [Groningen]: University of Groningen. 266 p.

Technical Debt in Continuous Software Engineering: An Overview of the State of the Art and Future Trends

de Oliveira Carvalho, L., Biazotto, J. P., Feitosa, D. & Nakagawa, E., 2024, (Submitted) 2024: Proceedings of the 27th Ibero-American Conference on Software Engineering . Brazilian Computing Society (SBC), 13 p.

A Comparison of the Effectiveness of ChatGPT and Co-Pilot for Generating Quality Python Code Solutions

Nikolaidis, N., Flamos, K., Gulati, K., Feitosa, D., Ampatzoglou, A. & Chatzigeorgiou, A., 2024, (E-pub ahead of print) 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C). IEEE, p. 93-101 9 p.

Multi-granular software annotation using file-level weak labelling

Sas, C. & Capiluppi, A., 2024, In: Empirical software engineering. 29, 1, 34 p., 12.

Governing the use of big data and digital twin technology for sustainable tourism

Rahmadian, E., 2024, [Groningen]: University of Groningen. 189 p.

Eclipse Open SmartCLIDE: An end-to-end framework for facilitating service reuse in cloud development

Nikolaidis, N., Arvanitou, E. M., Volioti, C., Maikantis, T., Ampatzoglou, A., Feitosa, D., Chatzigeorgiou, A. & Krief, P., 2024, In: Journal of Systems and Software. 207, 13 p., 111877.

DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt

Li, Y., Soliman, M., Avgeriou, P. & Van Ittersum, M., 2023, Proceedings - 2023 IEEE International Conference on Software Maintenance and Evolution, ICSME 2023. IEEE, p. 558-562 5 p. (Proceedings - 2023 IEEE International Conference on Software Maintenance and Evolution, ICSME 2023).

Digital twins, big data governance, and sustainable tourism

Rahmadian, E. R., Feitosa, D. & Virantina, Y., 2023, In: Ethics and Information Technology. 25, 4, 61.

Warnings: Violation symptoms indicating architecture erosion

Li, R., Liang, P. & Avgeriou, P., 2023, In: Information and Software Technology. 164, 13 p., 107319.

Does Code Review Speed Matter for Practitioners?

Kudrjavets, G. & Rastogi, A., 2023, In: Empirical software engineering. 29, 34 p., 7.

Mystical and Affective Aspects of Psychedelic Use in a Naturalistic Setting: A Linguistic Analysis of Online Experience Reports

Žuljević, M. F., Mijatović, A., Marušić, S. L., Kudrjavets, G., Buljan, I. & Hren, D., 2023, (E-pub ahead of print) In: Journal of Psychoactive Drugs. 13 p.

Booting and Rebooting Academia-Industry Collaborations within Software Engineering Courses

Capiluppi, A. & Jaccheri, L., 2023, In: Ieee software. 40, 6, p. 63-71 7 p.

GitRanking: A ranking of GitHub topics for software classification using active sampling

Sas, C., Capiluppi, A., Sipio, C. D., Rocco, J. D. & Di Ruscio, D., 2023, In: Software - Practice and Experience. 53, 10, p. 1982-2006 25 p.

Towards Accurate and Efficient Sleep Period Detection using Wearable Devices

Jokar Jandaghi, F., Azzopardi, G. & Palotti, J., 2023, Computer Analysis of Images and Patterns: 20th International Conference, CAIP 2023 Limassol, Cyprus, September 25–28, 2023 Proceedings, Part II. Tsapatsoulis, N. (ed.). Springer, p. 43–54 12 p. (Lecture Notes in Computer Science; vol. 14185).

Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources

Li, Y., Soliman, M. & Avgeriou, P., 2023, Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023. IEEE, p. 11-21 11 p. (Proceedings - 2023 ACM/IEEE International Conference on Technical Debt, TechDebt 2023).

OFraMP: a fragment-based tool to facilitate the parametrization of large molecules

Stroet, M., Caron, B., Engler, M. S., van der Woning, J., Kauffmann, A., van Dijk, M., El-Kebir, M., Visscher, K. M., Holownia, J., Macfarlane, C., Bennion, B. J., Gelpi-Dominguez, S., Lightstone, F. C., van der Storm, T., Geerke, D. P., Mark, A. E. & Klau, G. W., 2023, In: Journal of Computer-Aided Molecular Design. 37, 8, p. 357-371 15 p.

An Architectural Technical Debt Index Based on Machine Learning and Architectural Smells

Sas, D. & Avgeriou, P., 2023, In: IEEE Transactions on Software Engineering. 49, 8, p. 4169-4195 27 p.

A Development Example: From Conceptual Specification to OO Specification

Smedinga, R. & de Brock, B., 2023, Business Modeling and Software Design: 13th International Symposium, BMSD 2023 Utrecht, The Netherlands, July 3–5, 2023 Proceedings. Shishkov, B. (ed.). Springer, p. 340-351 12 p. (Lecture Notes in Business Information Processing ; vol. 483).

Batching for Green AI -- An Exploratory Study on Inference

Yarally, T., Cruz, L., Feitosa, D., Sallou, J. & Deursen, A. V., 2023, 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

Big Data Governance: The Case of Mobile Positioning Data for Official Tourism Statistics In Indonesia

Rahmadian, E., Virantina, Y., Feitosa, D., Zwitter, A. & Kanti Lestari, T., 2023, (Accepted/In press) The 64th World Statistics Congress. ISI, 8 p.

Improving hardware/software interface management in systems of systems through documentation as code

Cadavid, H., Andrikopoulos, V. & Avgeriou, P., 2023, In: Empirical software engineering. 28, 35 p., 100.

Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI

Yarally, T., Cruz, L., Feitosa, D., Sallou, J. & Van Deursen, A., 2023, 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN). IEEE, p. 25-36 12 p.

From Conceptual Specification to OO Specification

de Brock, B. & Smedinga, R., 2023, Business Modeling and Software Design: 13th International Symposium, BMSD 2023 Utrecht, The Netherlands, July 3–5, 2023 Proceedings. Shishkov, B. (ed.). Cham: Springer, p. 180-199 20 p. (Lecture Notes in Business Information Processing; vol. 483).

The lifecycle of Technical Debt that manifests in both source code and issue trackers

Tan, J., Feitosa, D. & Avgeriou, P., 2023, In: Information and Software Technology. 159, 14 p., 107216.

Artifact Traceability in DevOps: An Industrial Experience Report

Pauzi, Z., Thind, R. & Capiluppi, A., 2023, Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. Association for Computing Machinery, p. 180-183 4 p. (ACM International Conference Proceeding Series).

Automatic identification of self-admitted technical debt from four different sources

Li, Y., Soliman, M. & Avgeriou, P., 2023, In: Empirical software engineering. 28, 3, 38 p., 65.

Weak Labelling for File-level Source Code Classification

Sas, C. & Capiluppi, A., 2023, Proceedings - 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023. Zhang, T., Xia, X. & Novielli, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 698-702 5 p. (Proceedings - 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023).

Self-Admitted Technical Debt in the Embedded Systems Industry: An Exploratory Case Study

Li, Y., Soliman, M., Avgeriou, P. & Somers, L., 2023, In: IEEE Transactions on Software Engineering. 49, 4, p. 2545-2565 21 p.

Semantics Engineering with Concrete Syntax

van der Storm, T., 2023, Eelco Visser Commemorative Symposium, EVCS 2023. Lammel, R., Mosses, P. D. & Steimann, F. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 11 p. 28. (OpenAccess Series in Informatics; vol. 109).

Eelco Visser and IFIP WG 2.16

van der Storm, T., 2023, Eelco Visser Commemorative Symposium, EVCS 2023. Lammel, R., Mosses, P. D. & Steimann, F. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 3 p. 28. (OpenAccess Series in Informatics; vol. 109).

A fuzzy fine-tuned model for COVID-19 diagnosis

Esmi, N., Golshan, Y., Asadi, S., Shahbahrami, A. & Gaydadjiev, G., 2023, In: Computers in biology and medicine. 153, 13 p., 106483.

Understanding, Analysis, and Handling of Software Architecture Erosion

Li, R., 2023, [Groningen]: University of Groningen. 272 p.

Cross-disciplinary Architecting of Systems of Systems - Bridging the Gap

Cadavid Rengifo, H., 2023, [Groningen]: University of Groningen. 216 p.

Where and What do Software Architects blog? An Exploratory Study on Architectural Knowledge in Blogs, and their Relevance to Design Steps

Soliman, M., Gericke, K. & Avgeriou, P., 2023, IEEE 20th International Conference on Software Architecture, ICSA . IEEE, p. 129-140 12 p.

The Need for Speed: Increasing the Code Review Velocity

Kudrjavets, G., 2023, [Groningen]: University of Groningen. 239 p.

Using improvisation theater techniques in project environments

Hoffmann, A., 2023, [Groningen]: University of Groningen. 252 p.

From Descriptive to Predictive: Forecasting Emerging Research Areas in Software Traceability Using NLP from Systematic Studies

Pauzi, Z. & Capiluppi, A., 2023, Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2023. Kaindl, H., Kaindl, H., Kaindl, H., Mannion, M., Maciaszek, L. & Maciaszek, L. (eds.). Science and Technology Publications, Lda, p. 538-545 8 p. (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings; vol. 2023-April).

Datasets

Supplementary Material for Mining Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications

Feitosa, D. (Creator), Penca, M. (Creator), Berardi, B. (Creator), Boza, R. (Creator) & Andrikopoulos, V. (Creator), ZENODO, 2024

Replication package for identifying four types of SATD from four different sources

Li, Y. (Contributor), Soliman, M. (Contributor) & Avgeriou, P. (Contributor), ZENODO, 2022

Supplementary Material of the paper entitled "Governing Digital Twin technology on smart and sustainable tourism"

Rahmadian, E. (Contributor), Feitosa, D. (Contributor) & Zwitter, A. (Contributor), ZENODO, 2022

GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling

Sas, C. (Contributor), Capiluppi, A. (Contributor), Di Sipio, C. (Contributor), Di Rocco, J. (Contributor) & Di Ruscio, D. (Contributor), ZENODO, 2022

Dataset for ESE submission "Pull Request Latency Explained: An Empirical Overview"

Zhang, X. (Contributor), Yu, Y. (Contributor), Wang, T. (Contributor), Rastogi, A. (Contributor) & Wang, H. (Contributor), ZENODO, 2021

The Temporality of Technical Debt Introduction on New Code and Confounding Factors

Digkas, G. (Contributor), Ampatzoglou, A. (Contributor), Chatzigeorgiou, A. (Contributor) & Avgeriou, P. (Contributor), ZENODO, 2021

Dataset for TSE submission "Pull Request Decision Explained: An Empirical Overview"

Zhang, X. (Contributor), Yu, Y. (Contributor), Gousios, G. (Contributor) & Rastogi, A. (Contributor), ZENODO, 2021

Dataset for the paper: "An Exploratory Study on Automatic Identification of Assumptions in Software Development"

Li, R. (Contributor), Liang, P. (Contributor), Yang, C. (Contributor), Digkas, G. (Contributor), Chatzigeorgiou, A. (Contributor) & Xiong, Z. (Contributor), ZENODO, 2021

Dataset of Phabricator code reviews

Kudrjavets, G. (Creator), Nagappan, N. (Contributor) & Rastogi, A. (Contributor), University of Groningen, 2021

LabelGit: A dataset for software repositories classification using attributed dependency graphs

Sas, C. (Contributor) & Capiluppi, A. (Contributor), ZENODO, 2021

Replication Package: On the relation between architectural smells and source code changes

Sas, D. (Contributor), Avgeriou, P. (Contributor), Pigazzini, I. (Contributor) & Fontana, F. A. (Contributor), ZENODO, 2021

Security vulnerabilities in open-source reused systems

Gkortzis, A. (Contributor), Feitosa, D. (Contributor) & Spinellis, D. (Contributor), ZENODO, 2020

Dataset: Security vulnerabilities in open-source reused systems

Gkortzis, A. (Creator), Feitosa, D. (Creator) & Spinellis, D. (Creator), University of Groningen, 2019

Dataset: Investigating instability architectural smells evolution: an exploratory case study

Sas, D. (Creator), Avgeriou, P. (Creator) & Arcelli Fontana, F. (Creator), University of Groningen, 2019

Dataset: Potential security vulnerabilities in open-source reused systems

Gkortzis, A. (Creator), Feitosa, D. (Creator), Avgeriou, P. (Creator) & Spinellis, D. (Creator), University of Groningen, 2019

SEARCH Group • University of Groningen • 2024
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