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Valentina Lenarduzzi
Valentina Lenarduzzi
Associate Professor (Tenure Track), University of Oulu (M3S group)
Email verificata su oulu.fi - Home page
Titolo
Citata da
Citata da
Anno
Processes, Motivations and Issues for Migrating to Microservices Architectures: An Empirical Investigation
D Taibi, V Lenarduzzi, C Pahl
IEEE Cloud Computing 4 (5), 22-32, 2017
3812017
Architectural Patterns for Microservices: A Systematic Mapping Study
D Taibi, V Lenarduzzi, C Pahl
in Proc. 8th Int’l Conf. Cloud Computing and Services Science, 2018
3022018
MVP Explained: A Systematic Mapping Study on the Definitions of Minimal Viable Product
V Lenarduzzi, D Taibi
42th Euromicro Conference on Software Engineering and Advanced Applications …, 2016
2712016
On the Definition of Microservice Bad Smells
D Taibi, V Lenarduzzi
IEEE Software 35 (3), 2018
2572018
A Systematic Literature Review on Technical Debt Prioritization: Strategies, Processes, Factors, and Tools
V Lenarduzzi, T Besker, D Taibi, A Martini, F Arcelli Fontana
Journal of Systems and Software 110827, 2020
181*2020
Empirical standards for software engineering research
P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ...
arXiv preprint arXiv:2010.03525, 2020
173*2020
From Monolithic Systems to Microservices: An Assessment Framework
F Auer, V Lenarduzzi, M Felderer, D Taibi
Information and Software Technology 106600, 2021
1592021
An Overview and Comparison of Technical Debt Measurement Tools
P Avgeriou, D Taibi, A Ampatzoglou, F Arcelli Fontana, T Besker, ...
IEEE Software, 2020
1272020
Microservices Anti Patterns: A Taxonomy
D Taibi, V Lenarduzzi, C Pahl
Microservices - Science and Engineering, 2019
1192019
The Technical Debt Dataset
V Lenarduzzi, N Saarimäki, D Taibi
15th International Conference on Predictive Models and Data Analystics in …, 2019
1162019
How developers perceive smells in source code: A replicated study
D Taibi, A Janes, V Lenarduzzi
Information and Software Technology 92, 223-235, 2017
1152017
Microservices in agile software development: a workshop-based study into issues, advantages, and disadvantages
D Taibi, V Lenarduzzi, C Pahl, A Janes
Proceedings of the XP2017 Scientific Workshops, 23, 2017
1122017
Are SonarQube Rules Inducing Bugs?
V Lenarduzzi, F Lomio, H Huttunen, D Taibi
27th IEEE International Conference on Software Analysis, Evolution and …, 2020
1102020
Does Migrating a Monolithic System to Microservices Decrease the Technical Debt?
V Lenarduzzi, F Lomio, N Saarimäki, D Taibi
Journal of Systems and Software 110710, 2020
1002020
Towards Microservice Smells Detection
I Pigazzini, F Arcelli Fontana, V Lenarduzzi, D Taibi
IEEE/ACM International Conference on Technical Debt (TechDebt2020), 2020
802020
A survey on code analysis tools for software maintenance prediction
V Lenarduzzi, A Sillitti, D Taibi
Proceedings of 6th International Conference in Software Engineering for …, 2020
692020
Open Source Software Evaluation, Selection, and Adoption: a Systematic Literature Review
V Lenarduzzi, D Taibi, D Tosi, L Lavazza, S Morasca
Euromicro Conference Series on Software Engineering and Advanced …, 2020
662020
On the Diffuseness of Technical Debt Items and Accuracy of Remediation Time When Using SonarQube
T Baldassarre, V Lenarduzzi, S Romano, N Saarimaki
Information and Software Technology 106377, 2020
642020
Analyzing Forty Years of Software Maintenance Models
V Lenarduzzi, A Sillitti, D Taibi
International Conference on Software Engineering (ICSE), 2017
642017
Are Architectural Smells Independent from Code Smells? An Empirical Study
F Arcelli Fontana, V Lenarduzzi, R Roveda, D Taibi
Journal of Systems and Software, 2019
622019
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