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Pangea: A Workbench for Statically Analyzing Multi-Language Software Corpora

Publikationsart Peer-reviewed
Publikationsform Tagungsbeitrag (peer-reviewed)
Publikationsdatum 2014
Autor/in Caracciolo Andrea, Chiçs Andrei, Spasojević Boris, Lungu Mircea,
Projekt Agile Software Assessment
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Tagungsbeitrag (peer-reviewed)

Titel der Proceedings Source Code Analysis and Manipulation (SCAM), 2014 IEEE 14th International Working Conference
DOI 10.1109/SCAM.2014.38

Abstract

Software corpora facilitate reproducibility of analyses, however, static analysis for an entire corpus still requires considerable effort, often duplicated unnecessarily by multiple users. Moreover, most corpora are designed for single languages increasing the effort for cross-language analysis. To address these aspects we propose Pangea, an infrastructure allowing fast development of static analyses on multi-language corpora. Pangea uses language-independent meta-models stored as object model snapshots that can be directly loaded into memory and queried without any parsing overhead. To reduce the effort of performing static analyses, Pangea provides out-of-the box support for: creating and refining analyses in a dedicated environment, deploying an analysis on an entire corpus, using a runner that supports parallel execution, and exporting results in various formats. In this tool demonstration we introduce Pangea and provide several usage scenarios that illustrate how it reduces the cost of analysis.
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