TechDebt 2022
Tue 17 - Wed 18 May 2022 Pennsylvania, United States
co-located with ICSE 2022
Valentina Lenarduzzi

Registered user since Sat 6 Jun 2020

Name:Valentina Lenarduzzi
Bio:

I am currently an assistant professor (tenure track) at University of Oulu (Finland). 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. Before that, I was postdoctoral researcher at LUT University (Finland), Tampere University (Finland) and at the Free University of Bozen-Bolzano, (Italy). Moreover, I was visiting researcher at the University of Kaiserslautern (TUK) and the Fraunhofer Institute for Experimental Software Engineering IESE (Germany). I obtained my Ph.D. in Computer Science in 2015 with a dissertation on effort estimation and data analysis in software engineering.

Country:Finland
Affiliation:University of Oulu
Research interests:Empirical Software Engineering, Software Maintenance and Evolution, Software Quality, Continues Experimentation

Contributions

NLBSE 2022 Committee Member in Program Committee within the NLBSE 2022-track
ICSE 2022 ASPA: A Static Analyser to Support Learning and Continuous Feedback on Programming Courses. An Empirical Validation
EUGAIN. The European Network For Gender Balance in Informatics
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Committee Member in Program Committee within the SRC - ACM Student Research Competition-track
Committee Member in Judges within the SRC - ACM Student Research Competition-track
MSR 2022 Finland in Mining Challenge Committee within the Mining Challenge-track
MOBILESoft 2022 Committee Member in Program Committee within the Technical Papers-track
TechDebt 2022 Program Co-Chair in Organizing Committee
PC Co-Chair in Program Committee within the Technical Papers-track
Virtual Closing and In Person Details
Session Chair of Panel (part of Technical Papers)
CAIN 2022 What is Software Quality for AI Engineers? Towards a Thinning of the Fog
Preliminary Insights to enable automation of the Software Development Process in Software StartUps. A Investigation Study from the use of Artificial Intelligence and Machine Learning
ICPC 2022 Committee Member in Program Committee within the Tool Demonstration-track
RoPES 2022 Population Characterization Comes Before Sample Selection
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