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Master Thesis
Computer ScienceRadboud University Nijmegen
Client-side performance proling of
JavaScript for web applicationsAuthor:
Thomas Nagele
thom@snagele.nlSupervisor Radboud University: prof. dr. Jozef Hooman hooman@cs.ru.nlSupervisors Topicus:
Remco Zigterman
remco.zigterman@topicus.nlMark Brul
mark.brul@topicus.nl24th June 2015
Abstract
Modern web applications greatly rely on JavaScript to be executed on the computer of the client. Since every user runs the application on their own computer, there are many dierent hardware and software combinations. From the developers perspective, it is therefore dicult to identify performance issues that may occur at run-time. This thesis describes the development of a generic proler for JavaScript in web applications. Client-side performance in the context of web applications is dened and contributing factors to this performance are explained. Before constructing a proling method, rst an evaluation method is constructed to quantitatively compare dierent methods. A few of methods are proposed and evaluated, after which one proling method is implemented. Next, an integration tool is developed to enable easy integration with any web application. As expected, the proler has some impact on the performance of the application, but it was found to be accurate, easy to use and portable.Acknowledgements
First of all, I would like to thank Topicus for giving me the opportunity to carry out this research. In particular, I would like to thank Remco Zigterman and Mark Brul for their guidance and support throughout the process. Also, many thanks to my supervisor, Jozef Hooman, who provided me with loads of feedback on every draft I sent. His feedback and ideas have helped me enormously. I also would like to thank Joost Visser for taking the time to act as second reader. Finally, last but not least, thanks to my friends and family who supported me, read bits and pieces of this thesis and provided additional feedback. Thank you.Contents
1 Introduction
11.1 Background information
11.2 Problem statement
21.3 Approach
31.4 Scientic context
52 Web applications
72.1 General architecture
72.2 Page rendering
82.2.1 Web application work
ow 92.3 JavaScript
102.3.1 Benchmarks
112.3.2 Prolers
122.3.3 Static program analysis
132.3.4 Frameworks
132.3.5 AngularJS
152.4 Interact CTG
192.4.1 CTG
192.4.2 Architecture
193 Proling performance
223.1 Denition of client-side performance
223.1.1 Classical denition of performance
223.1.2 End-user denition of performance
243.1.3 Technical denition
243.2 Performance analysis method properties
253.3 Method evaluation
263.3.1 Accuracy
273.3.2 Impact
313.3.3 Usability
313.3.4 Portability
324 Methods for performance proling
33i
Contents Thomas Nagele
4.1 Manual proling
334.1.1 Pre-evaluation
334.2 Manual logging
344.2.1 Pre-evaluation
354.2.2 Implementation
354.2.3 Post-evaluation
374.2.4 Issues
394.3 Manual Logging improved
404.3.1 Implementation
404.3.2 Post-evaluation
455 Integration
485.1 Aspect Oriented Programming
485.2 Integration tool
495.2.1 Implementation
495.2.2 Improvements
505.2.3 Limitations
515.2.4 Concluding grade
516 Conclusion
536.1 Discussion
546.2 Related work
556.3 Future work
55Appendix A Benchmark results
59A.1 Dromaeo JavaScript Tests
59A.2 Sunspider 1.0.2
60A.3 Kraken 1.1
60A.4 Octane 2.0
61Appendix B Accuracy test
62B.1 Sources
62B.1.1 Array
64B.1.2 String
65B.1.3 Date
66B.1.4 Json
68B.1.5 Regexp
68B.2 Results from built-in JavaScript proler
69B.3 Results from Manual Logging method
69B.4 Results from improved Manual Logging method
69All sources mentioned in this thesis can be found in the following repository: ii