Estimating mobile application energy consumption using program analysis

By Shuai Hao, Ding Li, William G. J. Halfond, Ramesh Govindan. International Conference on Software Engineering, 2013

321 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/207c712404b256fe5e71114c480571f99725f345

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Suman Nath
2. William G. J. Halfond
3. Ramesh Govindan
4. Siegfried Rasthofer
5. Mike Papadakis
6. Bin Liu
7. Yves Le Traon
8. Deborah Estrin

In Electrical and Electronic Engineering

1. Suman Nath
2. William G. J. Halfond
3. Ramesh Govindan
4. Shuai Hao

Citations in the corpus

• Static analysis of android apps: A systematic literature review (2017, background): “Program Slicing AndroidLeaks [80], Apparecium [83], AppCaulk [86], AppSealer [94], AQUA [142] Brox [103], Capper [105], CredMiner [126], CryptoLint [54], eLens [66], Hopper [79], MobSafe [96], Poeplau et al.”
• PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps (2014, methodology): “These analyses have been used for analyzing performance [26, 27, 15], bugs [22, 25, 19], privacy and security [11, 24], compliance [20] and correctness [18], of apps, some at a scale of thousands of apps.”