Name
Abstract | ||
|---|---|---|
Examining software ecosystems can provide the research community with data regarding artifacts, processes, and communities. We present a dataset obtained from the Maven central repository ecosystem (approximately 265GB of data) by statically analyzing the repository to detect potential software bugs. For our analysis we used FindBugs, a tool that examines Java bytecode to detect numerous types of bugs. The dataset contains the metrics results that FindBugs reports for every project version (a JAR) included in the ecosystem. For every version we also stored specific metadata such as the JAR's size, its dependencies and others. Our dataset can be used to produce interesting research results, as we show in specific examples. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2597073.2597123 | MSR |
Keywords | Field | DocType |
software bugs,software/program verification,findbugs,testing and debugging,distribution, maintenance, and enhancement,maven repository | Data mining,Metadata,JAR,Computer science,Software bug,Java bytecode,Software,Database | Conference |
Citations | PageRank | References |
11 | 0.67 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitris Mitropoulos | 1 | 90 | 15.14 |
| Vassilios Karakoidas | 2 | 98 | 8.46 |
| Panos Louridas | 3 | 49 | 11.16 |
| Georgios Gousios | 4 | 1333 | 67.86 |
| Diomidis Spinellis | 5 | 2023 | 178.89 |