Paper Info
Title
SourcererDB: An aggregated repository of statically analyzed and cross-linked open source Java projects
Abstract
Abstract The open source movement has made vast quantities of source code available online for free, providing an extremely large dataset for empirical study and potential resuse. A major difficulty in exploiting this potential fully is that the data are currently scattered between competing source code repositories, none of which are structured for empirical analysis and cross-project comparison. As a result, software researchers and developers are left to compile their own datasets, resulting in duplicated effort and limited results. To address this challenge, we built SourcererDB, an aggregated repository of statically analyzed and cross-linked open source Java projects. SourcererDB contains local snapshots of 2,852 Java projects taken from Sourceforge, Apache and Java.net. These projects are statically analyzed to extract rich structural information, which is then stored in a relational database. References to entities in the 16,058 external jars are resolved and grouped, allowing for cross-project usage information to be accessed easily. This paper describes: (a) the mechanism for resolving and grouping these cross-project references, (b) the structure of and the metamodel for the SourcererDB repository, and (d) end-user dataset access mechanisms. Our goal in building SourcererDB is to provide a rich dataset of source code to facilitate the sharing of extracted data and to encourage reuse and repeatability of experiments.
Year
DOI
Venue
2009
10.1109/MSR.2009.5069501
MSR
Keywords
Field
DocType
cross-project reference,sourcererdb repository,cross-linked open source java,source code repository,aggregated repository,source code,open source movement,source code available online,java project,cross-project comparison,cross-project usage information,java,public domain software,project management,static analysis,search engines,relational databases,empirical study,software engineering,relational database,data mining,standardization,scattering,databases,information analysis,collaboration,solids
Data mining,Relational database,Reuse,Source code,Computer science,Compiler,Software,Java,Metamodeling,Database,Project management
Conference
Citations 
PageRank 
References 
16
1.40
5
Authors
5
Name
Order
Citations
PageRank
Joel Ossher139917.98
Sushil Bajracharya263631.80
Erik Linstead336027.44
Pierre Baldi44626502.51
Cristina Lopes52576207.71