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Shubham Sangle

dblp:246/5363 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 75% Software maintenance and evolution · 25%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › mining software repositories › source-code mining
language feature usage		 0.412019
On the use of lambda expressions in 760 open source Python projects · ESEC/SIGSOFT FSE 2019
Empirical software engineering
mining software repositories		 0.412019
On the use of lambda expressions in 760 open source Python projects · ESEC/SIGSOFT FSE 2019
Empirical software engineering
open source software		 0.412019
On the use of lambda expressions in 760 open source Python projects · ESEC/SIGSOFT FSE 2019
Software maintenance and evolution
software ecosystems		 0.412019
On the use of lambda expressions in 760 open source Python projects · ESEC/SIGSOFT FSE 2019

Methods — techniques the papers use, named apart from their topics

usage categorization · 0.4repository mining · 0.4
YearPublicationVenuePosition
2019 On the use of lambda expressions in 760 open source Python projects
abstract
Lambdas as anonymous functions have gained significant prominence in programming languages such as Java, C++, Python and so on as developers tend to use them. With the dominant use of Python as backend language in many projects and large number of open source projects available, we set out to investigate the use of lambdas in Python projects and obtained 19 categories to classify lambda usages as preliminary results. Our study could help language designers to improve the state of the art libraries for lambda expressions and developers to use lambda expressions effectively.
Shubham Sangle, Sandeep Muvva
 ESEC/SIGSOFT FSE1