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Abstract
Static analysis for JavaScript can potentially help programmers find errors early during development. Although much progress has been made on analysis techniques, a major obstacle is the prevalence of libraries, in particular jQuery, which apply programming patterns that have detrimental consequences on the analysis precision and performance.
Previous work on dynamic determinacy analysis has demonstrated how information about program expressions that always resolve to a fixed value in some call context may lead to significant scalability improvements of static analysis for such code. We present a static dataflow analysis for JavaScript that infers and exploits determinacy information on-the-fly, to enable analysis of some of the most complex parts of jQuery.
The techniques are implemented in the TAJS analysis tool and evaluated on a collection of small programs that use jQuery. Our results show that the proposed analysis techniques boost both precision and performance, specifically for inferring type information and call graphs.
Previous work on dynamic determinacy analysis has demonstrated how information about program expressions that always resolve to a fixed value in some call context may lead to significant scalability improvements of static analysis for such code. We present a static dataflow analysis for JavaScript that infers and exploits determinacy information on-the-fly, to enable analysis of some of the most complex parts of jQuery.
The techniques are implemented in the TAJS analysis tool and evaluated on a collection of small programs that use jQuery. Our results show that the proposed analysis techniques boost both precision and performance, specifically for inferring type information and call graphs.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages & Applications, OOPSLA '14 |
| Editors | Andrew Black, Todd Millstein |
| Number of pages | 15 |
| Publisher | Association for Computing Machinery |
| Publication date | 2014 |
| Pages | 17-31 |
| ISBN (Print) | 978-1-4503-2585-1 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA) - Portland, United States Duration: 20 Oct 2014 → 25 Oct 2014 |
Conference
| Conference | ACM International Conference on Object Oriented Programming Systems Languages and Applications (OOPSLA) |
|---|---|
| Country/Territory | United States |
| City | Portland |
| Period | 20/10/2014 → 25/10/2014 |
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Dive into the research topics of 'Determinacy in Static Analysis of jQuery'. Together they form a unique fingerprint.Activities
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Determinacy in static analysis for jQuery
Andreasen, E. S. (Lecturer)
20 Aug 2015Activity: Presentations, memberships, ownership and other activities › Lecture and oral contribution
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Determinacy in Static Analysis of jQuery
Andreasen, E. S. (Lecturer)
22 Oct 2014Activity: Presentations, memberships, ownership and other activities › Lecture and oral contribution
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OOPSLA
Andreasen, E. S. (Participant)
20 Oct 2014 → 24 Oct 2014Activity: Participating in or organising an event types › Participation in or organisation of workshop, seminar or course