… have been applied in bug localization by extracting lexical features in bug reports and … bug
localization system CAST, which exploits deep learning and customized abstract syntax trees …

… A bug localization model based on syntactical and semantic information of source … syntax
tree (AST) is divided based on node category to obtain statement sequence. The statement tree …

… Therefore, instead of pruning all language keywords, we instead build the Abstract Syntax
Tree (AST) of each source file and extract all identifier names (class name, method name, …

… To ensure that the newly generated programs are syntactically correct, we modify the
abstract syntax tree (AST) of the original PoC rather than its source code. We apply tree …

… tree convolutional network which uses specialized program encoding and convolution filters
to capture the tree … , which is explicitly represented by their abstract syntax trees (ASTs), eg, …

… generate each input program in two steps: First, a random syntax tree is generated which
complies with the bc language specification; second, a program is derived from the syntax tree. …

… In this paper, we use Eclipse AST (Abstract Syntax Tree) [8] to extract method signatures
and their method bodies from Java source code files. The timestamp of each method is …

… information in bug reports and source files on improving the performance of bug localization,
… be parsed into abstract syntax tree and also be reverted from the abstract syntax tree. Thus, …

… of information for bug localization. To better capture the interrelation information, we first
construct a code knowledge graph based on AST(abstract syntax trees) of every source files in …

… To normalize source code files, we utilize JDT library1 to extract Abstract Syntax Trees (ASTs)
from source code. We keep texts in AST nodes corresponding to identifiers and string …