By Richard Jones

This e-book constitutes the complaints of the twenty eighth ecu convention on Object-Oriented Programming, ECOOP 2014, held in Uppsala, Sweden, in July/August 2014. The 27 papers awarded during this quantity have been conscientiously reviewed and chosen from one hundred and one submissions. they're equipped in topical sections named: research; layout; concurrency; varieties; implementation; refactoring; JavaScript, personal home page and frameworks; and parallelism.

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Extra info for ECOOP 2014 – Object-Oriented Programming: 28th European Conference, Uppsala, Sweden, July 28 – August 1, 2014. Proceedings

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Presented a hybrid context-sensitive analysis that combined object-sensitivity and call-site-sensitivity [13]. Hybrid context-sensitive analysis for JavaScript is planned for our future work. 6 Conclusion JavaScript object behavior is difficult to analyze well because of prototype-based inheritance and allowed changes to object properties during execution. In this paper, we introduced a state-sensitive points-to analysis that models object behavior changes accurately by using a hierarchical program representation emphasizing state-update statements, by defining state sensitivity, a better context sensitivity mechanism for a dynamic language, and by enhancing the points-to graph representation for improving object property lookups.

However, reflection poses a major obstacle to pointer analysis. Despite the large literature on whole-program [1, 6, 7, 11, 15, 21] and demand-driven [10, 13, 14, 17] pointer analysis for Java, almost all the analyses reported are unsound in the presence of reflection since it is either ignored or handled partially. , for supporting bug detection, program understanding and speculative compiler optimization). Even so, ignoring reflection often leads to missed, important behaviors [18]. This explains why modern pointer analysis tools for Java [4, 19–21] provide some forms of reflection handling.

P t(x) denotes the points-to set of x and P t(< φo, p >) denotes the points-to set of the property p of φo. p. We also define the operation Alias(v) which returns the set of variables W such that v and w ∈ W point to the same object. , apset(v) = ∀q : {(< v, q φ >, φo)}). In addition to the points-to graph, we use a mapping data structure to store intermediate information in the analysis. The map M is used to record the list of property names when an object is constructed. , {p1, p2, p3}). 3 Points-to Analysis Transfer Functions In this section we describe the data-flow transfer functions for the statements shown in Table 2.

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