By Doug Lea (auth.), Theo D’Hondt (eds.)
This ebook constitutes the refereed complaints of the twenty fourth ecu convention on Object-Oriented Programming, ECOOP 2010, held in Maribor, Slovenia, in June 2010. The 24 revised complete papers, offered including one prolonged summary have been conscientiously reviewed and chosen from a complete of 108 submissions. The papers disguise themes resembling programming environments and instruments, theoretical foundations of programming languages, formal tools, concurrency types in Java, empirical tools, style platforms, language layout and implementation, concurrency abstractions and reports.
Read Online or Download ECOOP 2010 – Object-Oriented Programming: 24th European Conference, Maribor, Slovenia, June 21-25, 2010. Proceedings PDF
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Extra info for ECOOP 2010 – Object-Oriented Programming: 24th European Conference, Maribor, Slovenia, June 21-25, 2010. Proceedings
The goal of the approach is to narrow down the fault search space in a failureinducing input model. The approach uses dynamic tainting  (or informationﬂow analysis ) to track the ﬂow of data from input-model entities to the output string of a model-to-text transform. Given the input model I for a failing execution of a transform program P , the approach instruments P to associate taint marks with the elements of I and propagate the marks to the output string. The execution of the instrumented program generates a taint log, in which substrings of the output string have taint marks associated with them.
Computation of Control- and Loop-Taint Propagation Points. Controltaints have a scope, deﬁned by a start index and an end index, in the output string. To propagate the start and end control-taints to the output string, our approach identiﬁes the program points at which conditionals occur and the join points for those conditionals. For each conditional c, the approach propagates the taint marks associated with the variables used at c to the output string, and classiﬁes the taint marks as control-taints.
Dhoolia et al. transform (Figure 3). The ﬁrst and the third faulty models cause missing strings in the output, whereas the second faulty model causes an incorrect substring in the output. Missing Substrings. A failing transformation that results in a missing substring could be caused by the incorrect empty value of an element or attribute. The ﬁrst faulty model in Figure 5 illustrates this. , a conditional along the traversed path could have evaluated incorrectly, which caused the substring to not be generated along the taken-path.