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Pedro Simão

dblp:225/0369 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Software engineering, systems software and programming languages · 1

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › refactoring
energy-aware refactoring
0.312018
jStanley: placing a green thumb on Java collections · ASE 2018
Energy-efficient computing › energy measurement
energy profiling
0.312018
jStanley: placing a green thumb on Java collections · ASE 2018
Energy-efficient computing
software energy consumption
0.312018
jStanley: placing a green thumb on Java collections · ASE 2018
YearPublicationVenuePosition
2018 jStanley: placing a green thumb on Java collections
abstract
Software developers are more and more eager to understand their code’s energy performance. However, even with such knowledge it is di cult to know how to improve the code. Indeed, little tool support exists to understand the energy consumption pro le of a software system and to eventually (automatically) improve its code.
Rui Pereira, Pedro Simão, Jácome Cunha, João Saraiva
ASE2