Document Type
Conference Proceeding
Keywords
Software Engineering, Programming languages
Disciplines
Computer Sciences | Programming Languages and Compilers | Software Engineering
Abstract
Analysis of multilingual codebases is a topic of increasing importance. In prior work, we have proposed the MLSA (MultiLingual Software Analysis) architecture, an approach to the lightweight analysis of multilingual codebases, and have shown how it can be used to address the challenge of constructing a single call graph from multilingual software with mutual calls. This paper addresses the challenge of constructing monolingual call graphs in a lightweight manner (consistent with the objective of MLSA) which nonetheless yields sufficient information for resolving language interoperability calls. A novel approach is proposed which leverages information from a compiler-generated AST to provide the quality of call graph necessary, while the program itself is written using an Island Grammar that parses the AST providing the lightweight aspect necessary. Performance results are presented for a C/C++ implementation of the approach, PAIGE (Parsing AST using Island Grammar Call Graph Emitter) showing that despite its lightweight nature, it outperforms Doxgen, is robust to changes in the (Clang) AST, and is not restricted to C/C++.
Publication Title
13th Int. Conf. on Software Technologies (ICSoft) Porto Portugal, July 2018.
Article Number
1060
Publication Date
7-28-2018
Language
English
Peer Reviewed
1
Recommended Citation
Anne-Marie Bogar, Damian Lyons, David Baird “Lightweight Call-Graph Construction for Multilingual Software Analysis” 13th Int. Conf. on Software Technologies (ICSoft) Porto Portugal, July 2018.
Version
Published
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
