Pooja Rani
11 SlideShares 3 Followers 5 Followings
Personal Information
Organization / Workplace
Bern Switzerland
Occupation
Postdoctoral researcher
Industry
Education
Website
poojaruhal.github.io/
About
I work on mainly supporting developers in comprehending source code via comments and their maintenance and evolution aspect. My research area lie in the general area of Software Engineering (SE), Natural Language Processing (NLP), Program Comprehension, Object-Oriented Programming, and Machine learning applied to SE.
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software engineering code comments comment analysis software documentation class comments survey smalltalk pharo software analysis software power consumption power consumption interview sustainability energy patterns web design and development energy consumption sustainable development software sustainability literature review systematic literature review documentation quality comment quality machine learning text classification defense phd ide natural language processing framework data mining
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Presentations

(11)
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Software Analysis using Natural Language Queries

3 years ago • 90 Views

Comment soup with a pinch of types

3 years ago • 77 Views

Let linguistics guide software analysis

3 years ago • 98 Views

Speculative analysis for comment quality assessment

2 years ago • 23 Views

What Do Developers Discuss about Code Comments?

2 years ago • 68 Views

PhD defense presenation

2 years ago • 289 Views

How to Identify Class Comment Types? A Multi-language Approach for Class Comment Classification

2 years ago • 139 Views

What do class comments tell us?An investigation of comment evolution and practices in Pharo Smalltalk

2 years ago • 154 Views

Can We Automatically Generate Class Comments in Pharo?

1 year ago • 22 Views

A Decade of Comment Quality Assessment: A Systematic Literature Review

6 months ago • 22 Views

Energy Patterns for Web: An Exploratory Study

1 week ago • 9 Views

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Sustainable Software for a Digital Society

Patricia Lago • 7 years ago

Can We Automatically Generate Class Comments in Pharo?

ESUG • 1 year ago

An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review

Sebastiano Panichella • 2 years ago

"An NLP-based Tool for Software Artifacts Analysis" at @ICSME2021.

Sebastiano Panichella • 2 years ago
Personal Information
Organization / Workplace
Bern Switzerland
Occupation
Postdoctoral researcher
Industry
Education
Website
poojaruhal.github.io/
About
I work on mainly supporting developers in comprehending source code via comments and their maintenance and evolution aspect. My research area lie in the general area of Software Engineering (SE), Natural Language Processing (NLP), Program Comprehension, Object-Oriented Programming, and Machine learning applied to SE.
Tags
software engineering code comments comment analysis software documentation class comments survey smalltalk pharo software analysis software power consumption power consumption interview sustainability energy patterns web design and development energy consumption sustainable development software sustainability literature review systematic literature review documentation quality comment quality machine learning text classification defense phd ide natural language processing framework data mining
See more