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Dataset Open Access

NJR-1 Dataset

Utture, Akshay; Kalhauge, Christian Gram; Liu, Shuyang; Palsberg, Jens

NJR is a Normalized Java Resource.

The NJR-1 dataset consists of 293 Java bytecode programs, each of which executes at least 100 unique application methods at runtime. Additionally, 5 static analysis tools (SpotBugs, Wala, Doop, Soot, Petablox) successfully run on these programs. 
These programs are repositories picked from the set of Java-8 projects on Github that compile and run successfully. 
Each of these programs comes with an executable jar file, the compiled bytecode file, and the Java source code. 

There are 3 files available for download: njr-1_dataset.zip, scripts.zip, benchmark_stats.csv.

njr-1_dataset.zip has the actual dataset programs. scripts.zip contains Python3 scripts to run analysis tools (SpotBugs, Wala, Doop, Soot, Petablox) on the entire dataset. The benchmark_stats.csv file lists, for each benchmark, the number of nodes and edges in its dynamic application call-graph, as well as the number of edges in its static application call-graph (as computed by Wala). 
A summary of the same is listed here:

Statistics  Dynamic-Nodes  Dynamic-Edges  Static-Edges
Mean                 205                         469                  1404
St.Dev               199                         464                   2523
Median              149                         327                   610

To cite the dataset, please cite the following paper:
Jens Palsberg and Cristina V. Lopes, NJR: a Normalized Java Resource. 
In Proceedings of ACM SIGPLAN International Workshop on State Of the Art in Program Analysis (SOAP), 2018.

Funded by the following NSF grant (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1823360&HistoricalAwards=false)
Files (2.6 GB)
Name Size
benchmark_stats.csv
md5:f9b0d46bf68b0609722e980c1e317ea8
25.5 kB Download
njr-1_dataset.zip
md5:c0a57feaf93f4b9374b32885b01997fc
2.6 GB Download
scripts.zip
md5:80e5285b2cc31fa71e7d850f59f4cd87
24.2 kB Download
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