How Does Code Obfuscation Impact Energy Usage?
暂无分享,去创建一个
William G. J. Halfond | Cagri Sahin | James Clause | Ryan McKenna | Philip Tornquist | Zachary Pearson | J. Clause | C. Sahin | Mian Wan | Philip Tornquist | Ryan McKenna | Zachary Pearson
[1] Byung-Gon Chun,et al. Augmented Smartphone Applications Through Clone Cloud Execution , 2009, HotOS.
[2] Sharad Malik,et al. Power analysis of embedded software: a first step towards software power minimization , 1994, IEEE Trans. Very Large Scale Integr. Syst..
[3] Gustavo Pinto,et al. Mining questions about software energy consumption , 2014, MSR 2014.
[4] Mahmut T. Kandemir,et al. Using complete machine simulation for software power estimation: the SoftWatt approach , 2002, Proceedings Eighth International Symposium on High Performance Computer Architecture.
[5] Alexander Chatzigeorgiou,et al. Energy Consumption Analysis of Design Patterns , 2007 .
[6] Ulrich Kremer,et al. The design, implementation, and evaluation of a compiler algorithm for CPU energy reduction , 2003, PLDI '03.
[7] Chi-Ying Tsui,et al. Low power architecture design and compilation techniques for high-performance processors , 1994, Proceedings of COMPCON '94.
[8] Ramesh Govindan,et al. Estimating Android applications' CPU energy usage via bytecode profiling , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).
[9] Lori L. Pollock,et al. Initial explorations on design pattern energy usage , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).
[10] Amin Vahdat,et al. ECOSystem: managing energy as a first class operating system resource , 2002, ASPLOS X.
[11] William G. J. Halfond,et al. How does code obfuscation impact energy usage? , 2016, J. Softw. Evol. Process..
[12] Mary Jane Irwin,et al. Techniques for low energy software , 1997, Proceedings of 1997 International Symposium on Low Power Electronics and Design.
[13] Lionel C. Briand,et al. A practical guide for using statistical tests to assess randomized algorithms in software engineering , 2011, 2011 33rd International Conference on Software Engineering (ICSE).
[14] Todd D. Millstein,et al. RERAN: Timing- and touch-sensitive record and replay for Android , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[15] Robin Kravets,et al. Power management techniques for mobile communication , 1998, MobiCom '98.
[16] Woongki Baek,et al. Green: a framework for supporting energy-conscious programming using controlled approximation , 2010, PLDI '10.
[17] Jack W. Davidson,et al. Memory access coalescing: a technique for eliminating redundant memory accesses , 1994, PLDI '94.
[18] Mark D. Corner,et al. Eon: a language and runtime system for perpetual systems , 2007, SenSys '07.
[19] Diana Marculescu,et al. Power aware microarchitecture resource scaling , 2001, Proceedings Design, Automation and Test in Europe. Conference and Exhibition 2001.
[20] Yepang Liu,et al. Where has my battery gone? Finding sensor related energy black holes in smartphone applications , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[21] Mahmut T. Kandemir,et al. Energy-conscious compilation based on voltage scaling , 2002, LCTES/SCOPES '02.
[22] Kathryn S. McKinley,et al. The latency, accuracy, and battery (LAB) abstraction: programmer productivity and energy efficiency for continuous mobile context sensing , 2013, OOPSLA.
[23] Samuel P. Midkiff,et al. What is keeping my phone awake?: characterizing and detecting no-sleep energy bugs in smartphone apps , 2012, MobiSys '12.
[24] Abram Hindle. Green mining: A methodology of relating software change to power consumption , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[25] Christian Bunse,et al. On the Energy Consumption of Design Patterns , 2013, Softwaretechnik-Trends.
[26] Yu David Liu,et al. Green Streams for data-intensive software , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[27] Lori L. Pollock,et al. How do code refactorings affect energy usage? , 2014, ESEM '14.
[28] Enric Musoll. A Thermal-Friendly Load-Balancing Technique for Multi-Core Processors , 2008, 9th International Symposium on Quality Electronic Design (isqed 2008).
[29] Henri E. Bal,et al. Cuckoo: A Computation Offloading Framework for Smartphones , 2010, MobiCASE.
[30] Dipankar Sarma,et al. Energy-aware task and interrupt management in Linux , 2009 .
[31] Ting Cao,et al. The Yin and Yang of power and performance for asymmetric hardware and managed software , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).
[32] Mahmut T. Kandemir,et al. Compiler-directed high-level energy estimation and optimization , 2005, TECS.
[33] Matt Welsh,et al. Flask: staged functional programming for sensor networks , 2008, ICFP.
[34] Luis Ceze,et al. Characterizing the Performance and Energy Efficiency of Lock-Free Data Structures , 2011, 2011 15th Workshop on Interaction between Compilers and Computer Architectures.
[35] Yung-Hsiang Lu,et al. Automatic Run-Time Selection of Power Policies for Operating Systems , 2006, Proceedings of the Design Automation & Test in Europe Conference.
[36] Yu David Liu,et al. Energy-efficient synchronization through program patterns , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).
[37] Paolo Falcarin,et al. A large study on the effect of code obfuscation on the quality of java code , 2015, Empirical Software Engineering.
[38] Marco Torchiano,et al. The effectiveness of source code obfuscation: An experimental assessment , 2009, 2009 IEEE 17th International Conference on Program Comprehension.
[39] Ding Li,et al. Integrated energy-directed test suite optimization , 2014, ISSTA 2014.
[40] Y. N. Srikant,et al. Compiler-directed frequency and voltage scaling for a multiple clock domain microarchitecture , 2008, CF '08.
[41] Luca Benini,et al. Requester-aware power reduction , 2000, ISSS '00.
[42] Ramesh Govindan,et al. Estimating mobile application energy consumption using program analysis , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[43] Trevor Mudge,et al. Dynamic voltage scaling on a low-power microprocessor , 2001 .
[44] Sam Malek,et al. Component-Level Energy Consumption Estimation for Distributed Java-Based Software Systems , 2008, CBSE.
[45] Lam H. Nguyen,et al. Stereo matching: performance study of two global algorithms , 2011, Defense + Commercial Sensing.
[46] Michael Cohen,et al. Energy types , 2012, OOPSLA '12.
[47] Lori L. Pollock,et al. Investigating the impacts of web servers on web application energy usage , 2013, 2013 2nd International Workshop on Green and Sustainable Software (GREENS).
[48] Suman Roychoudhury,et al. Choosing the "Best" Sorting Algorithm for Optimal Energy Consumption , 2009, ICSOFT.
[49] Gabriele Bavota,et al. Mining energy-greedy API usage patterns in Android apps: an empirical study , 2014, MSR 2014.
[50] Bill Tomlinson,et al. Green tracker: a tool for estimating the energy consumption of software , 2010, CHI Extended Abstracts.
[51] Krste Asanovic,et al. Reducing power density through activity migration , 2003, ISLPED '03.
[52] Rahul Khanna,et al. RAPL: Memory power estimation and capping , 2010, 2010 ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED).
[53] Song Liu,et al. Flikker: saving DRAM refresh-power through critical data partitioning , 2011, ASPLOS XVI.
[54] W. D. D. Silva,et al. Evaluation of the impact of code refactoring on embedded software efficiency , 2010 .
[55] Ramesh Govindan,et al. Calculating source line level energy information for Android applications , 2013, ISSTA.
[56] Ding Li,et al. Detecting Display Energy Hotspots in Android Apps , 2015, 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST).
[57] Dan Grossman,et al. EnerJ: approximate data types for safe and general low-power computation , 2011, PLDI '11.
[58] Ramon Canal,et al. Design space exploration for multicore architectures: a power/performance/thermal view , 2006, ICS '06.
[59] Chen-Mou Cheng,et al. COCA: Computation Offload to Clouds Using AOP , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).
[60] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[61] Bharat K. Bhargava,et al. A Survey of Computation Offloading for Mobile Systems , 2012, Mobile Networks and Applications.
[62] Thomas D. Burd,et al. Voltage scheduling in the IpARM microprocessor system , 2000, ISLPED'00: Proceedings of the 2000 International Symposium on Low Power Electronics and Design (Cat. No.00TH8514).
[63] Ding Li,et al. An Empirical Study of the Energy Consumption of Android Applications , 2014, 2014 IEEE International Conference on Software Maintenance and Evolution.
[64] Lori L. Pollock,et al. SEEDS: a software engineer's energy-optimization decision support framework , 2014, ICSE.
[65] Krisztián Flautner,et al. Automatic Performance Setting for Dynamic Voltage Scaling , 2001, MobiCom '01.
[66] Ulrich Kremer. Low-Power/Energy Compiler Optimizations , 2004 .
[67] Anish Muttreja,et al. Hybrid simulation for embedded software energy estimation , 2005, Proceedings. 42nd Design Automation Conference, 2005..
[68] William G. J. Halfond,et al. Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
[69] Sam Malek,et al. An energy consumption framework for distributed java-based systems , 2007, ASE.
[70] A. Vargha,et al. A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong , 2000 .
[71] Luis Ceze,et al. Architecture support for disciplined approximate programming , 2012, ASPLOS XVII.
[72] Jie Liu,et al. LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones , 2011, IEEE Pervasive Computing.
[73] Ding Li,et al. Making web applications more energy efficient for OLED smartphones , 2014, ICSE.
[74] Xiao Ma,et al. eDoctor : Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones , 2013 .
[75] William J. Kaiser,et al. The Atom LEAP Platform For Energy-Efficient Embedded Computing , 2010 .
[76] Romain Rouvoy,et al. A preliminary study of the impact of software engineering on GreenIT , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).
[77] Christopher W. Fraser,et al. Engineering a simple, efficient code-generator generator , 1992, LOPL.
[78] Daniel A. Jiménez,et al. Efficient Program Power Behavior Characterization , 2007, HiPEAC.
[79] Soheil Ghiasi,et al. Efficient and Scalable Compiler-Directed Energy Optimization for Realtime Applications , 2007, 2007 Design, Automation & Test in Europe Conference & Exhibition.
[80] Margaret Martonosi,et al. Wattch: a framework for architectural-level power analysis and optimizations , 2000, Proceedings of 27th International Symposium on Computer Architecture (IEEE Cat. No.RS00201).
[81] Fred Douglis,et al. Adaptive Disk Spin-Down Policies for Mobile Computers , 1995, Comput. Syst..