I am a PhD Candidate at the University of Bern in the Software Composition Group since January 2018. Prior to this, I have done masters in software system from the Birla Institute of Technology and Science-Pilani During my masters, I have worked on “Software Fault Tree Analysis” which is a safety analysis technique to identify a software-related error in early design phase from UML model.

Research Interest

As the complexity of software system increase, it becomes more important to tackle the future problem in the early stages. To support developers in building these complex systems we require tools which can support rapid development, understanding the system, re-using existing system, reduce testing effort, and automate various tasks for them. My research interest lies in supporting developers with various tools in their IDEs. Currently I am working on gathering and identifying developers information needs from various sources for specific development tasks.

Project Proposals

• Survey of commenting conventions covered by style guidelines and the tools
• Assessing comments quality automatically in Pharo
• Identify the comment issues pointed out in the code review phase
• How do code documentation efforts spread over class hierarchy?
• How do the class comments differ in common programming languages?
• Identification of the class responsibility information from the Pharo class comments
• Searching code examples in IDE using natural language queries
• Derive the contextual information from developer’s questions
• Individual projects available on request.

Past Proposals

• Msc: Investigating developer’s questions using web scraping
• Bsc: Analyzing the inconsistency between comments and source code in Pharo
• Seminar: Plugin for Moose to Analyse Natural Language Questions

Contact Details

Email: pooja.rani |at| inf.unibe.ch

Telephone: +41 31 511 7639

Address: University of Bern, Software Composition Group,
Room 106, Schützenmattstrasse 14, CH-3012 Bern

Webpage: http://scg.unibe.ch/staff/Pooja-Rani

Publications

2020

1. Pooja Rani, Sebastiano Panichella, Manuel Leuenberger, Mohammad Ghafari, and Oscar Nierstrasz. What do class comments tell us? An investigation of comment evolution and practices in Pharo. In arXiv preprint arXiv:2005.11583, 2020. →

2018

1. Pooja Rani. Software Analysis using Natural Language Queries. In Seminar Series on Advanced Techniques \& Tools for Software Evolution (SATToSE), 2018. PDF →