SEAA

Publications

2023

Santiago del Rey, Silverio Martínez-Fernández, Luís Cruz, Xavier Franch
Do DL models and training environments have an impact on energy consumption? SEAA (2023)
Somnath Mazumdar, Thomas Dreibholz
Towards A Data Privacy-Aware Execution Zone Creation on Cloud/Fog Platform. SEAA (2023)
João Francisco Lino Daniel, Eduardo Guerra, Thatiane de Oliveira Rosa, Alfredo Goldman
Towards the Detection of Microservice Patterns Based on Metrics. SEAA (2023)
49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023, Durres, Albania, September 6-8, 2023 SEAA (2023)
Teodor Fredriksson, Jan Bosch, Helena Holmström Olsson
Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study. SEAA (2023)
Sirisha Bai Govardhan Rao, Julieth Patricia Castellanos Ardila, Sasikumar Punnekkat
A Systematic Review of β-factor Models in the Quantification of Common Cause Failures. SEAA (2023)
Michelangelo Esposito, Simone Romano, Giuseppe Scanniello
Test-Driven Development and Embedded Systems: An Exploratory Investigation. SEAA (2023)
Milad Abdullah, Lubomír Bulej, Tomás Bures, Vojtech Horký, Petr Tuma
Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations. SEAA (2023)
Anas Dakkak, Jan Bosch, Helena Holmström Olsson
DevServOps: DevOps For Product-Oriented Product Service Systems. SEAA (2023)
Mahum Adil, Tommi Mikkonen, Ilenia Fronza, Luis Corral, Outi Sievi-Korte, Salum Abdul-Rahman
"Let's Discuss it in a Team Meeting!" Collaboration Challenges of Distributed Software Design. SEAA (2023)
Silverio Martínez-Fernández, Xavier Franch, Francisco Durán
Towards green AI-based software systems: an architecture-centric approach (GAISSA). SEAA (2023)
Muhammad Ovais Ahmad, Tomas Gustavsson, Hina Saeeda
Customised Roles in Scrum Teams for the Development of Secure Solution. SEAA (2023)
Federica Filippini, Boris Lublinsky, Maximilien de Bayser, Danilo Ardagna
Performance Models for Distributed Deep Learning Training Jobs on Ray. SEAA (2023)
Ondrej Kuhejda, Bruno Rossi
Pull Requests Acceptance: A Study Across Programming Languages. SEAA (2023)
Torvald Mårtensson, Kristian Sandahl
Stop Looking for the Perfect All-Round Tester. SEAA (2023)
Patrick Spaney, Steffen Becker
Model-Driven Integration of Analysis Components for Cyber-Physical Production Systems. SEAA (2023)
Yumo Luo, Mikko Raatikainen, Jukka K. Nurminen
Autonomously Adaptive Machine Learning Systems: Experimentation-Driven Open-Source Pipeline. SEAA (2023)
Wander Siemers, June Sallou, Luís Cruz
The Two Faces of AI in Green Mobile Computing: A Literature Review. SEAA (2023)
Maliha Tasnim, Maruf Rayhan, Zheying Zhang, Timo Poranen
A Systematic Literature Review on Requirements Engineering Practices and Challenges in Open-Source Projects. SEAA (2023)
Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
Batching for Green AI - An Exploratory Study on Inference. SEAA (2023)
Alejandra Duque-Torres, Dietmar Pfahl, Claus Klammer, Stefan Fischer
Exploring a Test Data-Driven Method for Selecting and Constraining Metamorphic Relations. SEAA (2023)
Valerio Bellandi, Samira Maghool, Stefano Siccardi
An NLP-based statistical reporting methodology applied to court decisions. SEAA (2023)
Ali Nouri, Christian Berger, Fredrik Törner
On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study. SEAA (2023)
Meenu Mary John, Daniel Gillblad, Helena Holmström Olsson, Jan Bosch
Advancing MLOps from Ad hoc to Kaizen. SEAA (2023)
Adriano Vogel, Sören Henning, Otmar Ertl, Rick Rabiser
A systematic mapping of performance in distributed stream processing systems. SEAA (2023)
Qing Mi, Qinghang Bao, Longjie Cui
Identifying Topics and Trends in DevOps: A Study of Stack Overflow Posts. SEAA (2023)
Görkem Kilinç Soylu, Onur Demirörs
An Exploratory Case Study: Using Petri Nets for Modelling Microservice-based Systems. SEAA (2023)
Gabriele De Vito, Fabio Palomba, Carmine Gravino, Sergio Di Martino, Filomena Ferrucci
ECHO: An Approach to Enhance Use Case Quality Exploiting Large Language Models. SEAA (2023)
Thomas Goldschmidt, Sean Brady, Nandan Rao
A Holistic Approach to Information Modeling in the Tax Compliance Domain. SEAA (2023)
Majd Soud, Ilham A. Qasse, Grischa Liebel, Mohammad Hamdaqa
AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes. SEAA (2023)
Monika Steidl, Valentina Golendukhina, Michael Felderer, Rudolf Ramler
Automation and Development Effort in Continuous AI Development: A Practitioners' Survey. SEAA (2023)
Konstantinos Georgiou, Konstantinos Charmanas, Konstantinos Papageorgiadis, Nikolaos Mittas, Georgios Christidis, Lefteris Angelis
A data-driven framework for knowledge exchange analysis of development issues in medical applications: A case study of COVID-19. SEAA (2023)
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
QuaFedAsync: Quality-based Asynchronous Federated Learning for the Embedded Systems. SEAA (2023)
Helena Holmström Olsson, Jan Bosch
All data is equal or is some data more equal? On strategic data collection and use in the embedded systems domain. SEAA (2023)
Alejandra Duque-Torres, Claus Klammer, Dietmar Pfahl, Stefan Fischer, Rudolf Ramler
Towards Automatic Generation of Amplified Regression Test Oracles. SEAA (2023)
Umar Iftikhar, Jürgen Börstler, Nauman Bin Ali
On potential improvements in the analysis of the evolution of themes in code review comments. SEAA (2023)
Karl Kegel, Sebastian Götz
Towards Variability-Aware Instance Handling for Model Evolution at Runtime. SEAA (2023)
Yuki Fushihara, Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara
A Trend Analysis of Test Smells in Python Test Code Over Commit History. SEAA (2023)
Sonja M. Hyrynsalmi, Helena Holmström Olsson, Jan Bosch
Towards an integration management maturity. SEAA (2023)
Giammaria Giordano, Giulia Sellitto, Aurelio Sepe, Fabio Palomba, Filomena Ferrucci
The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells. SEAA (2023)
Alejandro M. Chirivella-Ciruelos, Marisol García-Valls
Automating the verification of smart contracts in blockchain networks for improving security. SEAA (2023)
Stefan Huber, Tobias Lorey, Michael Felderer
Techniques for Improving the Energy Efficiency of Mobile Apps: A Taxonomy and Systematic Literature Review. SEAA (2023)
Wanqi Zhao, Johannes Mey, René Schöne, Sebastian Götz, Uwe Aßmann
RobotRAGs: A Reference Attribute Grammar-based Integration Approach for Robotic Assembly Lines. SEAA (2023)
Dario Di Dario, Umberto Bilotti, Maurizio Sibilio, Carmine Gravino, Fabio Palomba
Toward a Secure Educational Metaverse: A Tale of Blockchain Design for Educational Environments. SEAA (2023)
Steve Counsell, Stephen Swift, Amjed Tahir
An "80-20" Approach to the Study of Coupling. SEAA (2023)
Rafael Capilla, Francesca Arcelli Fontana, Tommi Mikkonen, Paolo Bacchiega, Victor Salamanca
Detecting Architecture Debt in Micro-Service Open-Source Projects. SEAA (2023)
Marcel Weller, Sandro Speth, Georg Reißner, Steffen Becker
The MechatronicUML Code Generator for Distributed Cyber-Physical Systems. SEAA (2023)
Sabato Nocera, Simone Romano, Rita Francese, Riccardo Burlon, Giuseppe Scanniello
Managing Vulnerabilities in Software Projects: the Case of NTT Data. SEAA (2023)
Xabier Iturbe, Xabier Alberdi, Ander Aramburu, Armando Astarloa, Iñigo Barandiaran, Koldo Basterretxea, Angélica Dávila, Asier Erramuzpe, Iñigo Gabilondo, Garikoitz Lerma-Usabiaga, Lisandro Monsalve, Libe Mori, Javier Navaridas, Jose A. Pascual, Joaquin Piriz, Serafim Rodrigues, Oscar Seijo, Ander Soraluze, Edgar Soria, Ignacio Torres, Nerea Uriarte, Juan Luis Valerdi
SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country. SEAA (2023)
Asato Yamazaki, Takayuki Nishio, Yuko Hara-Azumi
Convergence Improvement by Parameters Exchange in Asynchronous Decentralized Federated Learning for Non-IID Data. SEAA (2023)