Tutkijatohtori Valentina Lenarduzzi

E-mail: Valentina.Lenarduzzi@lut.fi

URL: http://www.valentinalenarduzzi.it

ORCID ID: 0000-0003-0511-5133 (Go to ORCID profile)

CV:

Uploaded on: 28/09/2020

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

Software

Projects as Principal Investigator

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

Publications

1 of 7

An Overview and Comparison of Technical Debt Measurement Tools (2021)
A1 Journal article (refereed), original research
Avgeriou Paris, Taibi Davide, Ampatzoglou Apostolos, et al.

IEEE Software

Serverless Testing: Tool Vendors’ and Experts’ Point of View (2021)
A1 Journal article (refereed), original research
Lenarduzzi Valentina, Panichella Annibale

IEEE Software

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

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.

Are SonarQube Rules Inducing Bugs? (2020)
A4 Conference proceedings
Lenarduzzi Valentina, Lomio Francesco, Huttunen Heikki, et al.

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

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

How long do Junior Developers take to Remove Technical Debt Items? (2020)
A4 Conference proceedings
Lenarduzzi Valentina, Mandic Vladimir, Katin Andrej, et al.

International Symposium on Empirical Software Engineering and Measurement

International Symposium on Empirical Software Engineering and Measurement (ESEM)

Last updated on 2020-28-09 at 09:20