Tutkijatohtori Valentina Lenarduzzi

E-mail: Valentina.Lenarduzzi@lut.fi
ORCID ID: 0000-0003-0511-5133 (Go to ORCID profile)
CV:
Uploaded on: 15/03/2021

Current Organisation
Software Engineering (Superior organisation: LUT School of Engineering Science)

Biography
Valentina Lenarduzzi is a postdoctoral researcher at LUT University, School of Engineering Science. She was a postdoctoral researcher at Tampere University (Finland) and at the Free University of Bozen-Bolzano, (Italy). Moreover, I was a visiting researcher at the University of Kaiserslautern (TUK) and the Fraunhofer Institute for Experimental Software Engineering IESE (Germany). She obtained my Ph.D. in Computer Science in January 2015 with a dissertation on effort estimation and data analysis in software engineering.

Research Interest
My research activities are related to modern software development practices and methodologies, including data analysis in software engineering, software quality, software maintenance and evolution, focusing on Technical Debt as well as code and architectural smells.


Research Areas


Projects as Principal Investigator
Software Rejuvenation (01/03/2020 - 28/02/2021)
Funder: Other Finnish


Publications
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Serverless Testing: Tool Vendors' and Experts' Points of View (2021)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Panichella Annibale
IEEE Software
Software Quality for AI: Where we are now? (2021)
A4 Conference proceedings
Lenarduzzi Valentina, Lomio Francesco, Moreschini Sergio, et al.
International Conference on Software Quality (SWQD)
Towards a Technical Debt Conceptualization for Serverless Computing (2021)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Daly Jeremy, Martini Antonio, et al.
IEEE Software
An Overview and Comparison of Technical Debt Measurement Tools (2020)
A1 Journal article (refereed), original research
Avgeriou Paris, Taibi Davide, Ampatzoglou Apostolos, et al.
IEEE Software
A Preliminary Study on the Adequacy of Static Analysis Warnings with Respect to Code Smell Prediction (2020)
A4 Conference proceedings
Lujan Savanna, Pecorelli Fabiano, Palomba Fabio, et al.
MaLTeSQuE 2020: Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation
Are SonarQube Rules Inducing Bugs? (2020)
A4 Conference proceedings
Lenarduzzi Valentina, Lomio Francesco, Huttunen Heikki, et al.
2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)
A Systematic Literature Review on Technical Debt Prioritization: Strategies, Processes, Factors, and Tools (2020)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Besker Terese, Taibi Davide, et al.
Journal of Systems and Software
Cohort Studies in Software Engineering: A Vision of the Future (2020)
A4 Conference proceedings
Saarimäki Nyyti, Lenarduzzi Valentina, Vegas Sira, et al.
International Symposium on Empirical Software Engineering and Measurement
ESEM '20: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
Does Code Quality Affect Pull Request Acceptance? An empirical study (2020)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Nikkola Vili, Saarimaki Nyyti, et al.
Journal of Systems and Software
Does migrating a monolithic system to microservices decrease the technical debt? (2020)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Lomio Francesco, Saarimäki Nyyti, et al.
Journal of Systems and Software



Last updated on 2021-15-03 at 14:55