Faculty of Informatics
Università della Svizzera italiana
via Giuseppe Buffi, 13
CH - 6900, Lugano
arianna.blasi@usi.ch
arianna_blasi
Google Scholar

I am a Ph.D. student in Informatics at Università della Svizzera italiana (Lugano, Switzerland) since 2018. I'm part of the STAR team led by prof. Mauro Pezzè. Our research area is Software Testing and Analysis.

My work focuses on the automatic generation of test oracles, and in my research I derive them from natural-language clues. For this reason I am also interested in work that aims to ensure the quality of software-related artifacts expressed in natural language.

Before joining the PhD programme, I was a research intern at the IMDEA Software Institute (Madrid, Spain) under the supervision of Alessandra Gorla -- which is now my PhD co-advisor. The original intent was to work on my Master's thesis, but I decided to stay in the research institute even after obtaining my M.Sc. (Milan, Italy). Why? Because research is exciting! I am always eager to live new experiences, in any country, both in research and industry enviroments.

• Towards Detecting Inconsistent Comments in Java Source Code Automatically
  Nataliia Stulova, Arianna Blasi, Alessandra Gorla, Oscar Nierstrasz
  

  SCAM 2020 - NIER track, to appear


• Translating code comments to procedure specifications
  Arianna Blasi, Alberto Goffi, Konstantin Kuznetsov, Alessandra Gorla, Michael D. Ernst, Mauro Pezzè, Sergio Delgado C.
  

  ISSTA 2018 - Technical Papers track and Artifacts track


• RepliComment: identifying clones in code comments
  Arianna Blasi and Alessandra Gorla
  

  ICPC 2018 - Early Research Achievement track

• Research on NLP for RE at Università della Svizzera italiana (USI): a Report
  Arianna Blasi, Mauro Pezzè, Alessandra Gorla, Michael D. Ernst
  

  NLP4RE 2019 @ REFSQ 2019


• Semantic-based Analysis of Javadoc Comments
  Arianna Blasi, Alberto Goffi, Konstantin Kuznetsov, Alessandra Gorla, Michael D. Ernst, Mauro Pezzè, Sergio Delgado C.
  

  SATToSE 2017

• Jdoctor
  Jdoctor (previously known as Toradocu) is a tool that takes in input the Java source code of a class, extracts the Javadoc comments at the method level and translates them into executable specifications. The generated specifications can act as test oracles and can be integrated with an automatic test case generator: Jdoctor is currently integrated with Randoop.
  Up to now, Jdoctor's precision and recall computed over 800 translations are respectively above 90% and 80%. We would like to improve further the translation possibilities of the tool, as well as the integration with Randoop.


• RepliComment
  RepliComment is a tool that takes in input the Java source code of a whole project and searches for comment clones at the class level. RepliComment relies on some heuristics to understand whether a comment clone could be legitimate (e.g. overriding) or if there is an issue such as an unintentional mistake of copy-and-paste.
  Currently, RepliComment reports the issues found in a file. As a future work we would like to implement a real-time check&correction mechanism.


• ...more waiting to get open source!

• 2020-2021
  
  Programming Fundamentals 1 && Programmazione 1
  Bachelor program && 2nd level University Master degree
  Fall 20/21
  
  
• 2019-2020
  
  Software Engineering
  Master program
  Fall 19/20
  
  Software Quality & Testing
  Master program
  Spring 19/20


• 2018-2019
  
  Software Engineering
  Master program
  Fall 18/19
  
  Software Quality & Testing
  Master program
  Spring 18/19

I served as an external reviewer for the Journal of Software Testing, Verification and Reliability (STVR 2020) and the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020).