%0 Conference Paper %1 Costa:2017:ESU %A Costa, Diego %A Andrzejak, Artur %A Seboek, Janos %A Lo, David %B Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering %C New York, NY, USA %D 2017 %I ACM %K ArrayList Collections DataStructures Java JustInTime Optimization Performance Survey Usage %P 389--400 %R 10.1145/3030207.3030221 %T Empirical Study of Usage and Performance of Java Collections %U http://doi.acm.org/10.1145/3030207.3030221 %X Collection data structures have a major impact on the performance of applications, especially in languages such as Java, C#, or C++. This requires a developer to select an appropriate collection from a large set of possibilities, including different abstractions (e.g. list, map, set, queue), and multiple implementations. In Java, the default implementation of collections is provided by the standard Java Collection Framework (JCF). However, there exist a large variety of less known third-party collection libraries which can provide substantial performance benefits with minimal code changes. In this paper, we first study the popularity and usage patterns of collection implementations by mining a code corpus comprised of 10,986 Java projects. We use the results to evaluate and compare the performance of the six most popular alternative collection libraries in a large variety of scenarios. We found that for almost every scenario and JCF collection type there is an alternative implementation that greatly decreases memory consumption while offering comparable or even better execution time. Memory savings range from 60% to 88% thanks to reduced overhead and some operations execute 1.5x to 50x faster. We present our results as a comprehensive guideline to help developers in identifying the scenarios in which an alternative implementation can provide a substantial performance improvement. Finally, we discuss how some coding patterns result in substantial performance differences of collections. %@ 978-1-4503-4404-3

@inproceedings{Costa:2017:ESU, abstract = {Collection data structures have a major impact on the performance of applications, especially in languages such as Java, C#, or C++. This requires a developer to select an appropriate collection from a large set of possibilities, including different abstractions (e.g. list, map, set, queue), and multiple implementations. In Java, the default implementation of collections is provided by the standard Java Collection Framework (JCF). However, there exist a large variety of less known third-party collection libraries which can provide substantial performance benefits with minimal code changes. In this paper, we first study the popularity and usage patterns of collection implementations by mining a code corpus comprised of 10,986 Java projects. We use the results to evaluate and compare the performance of the six most popular alternative collection libraries in a large variety of scenarios. We found that for almost every scenario and JCF collection type there is an alternative implementation that greatly decreases memory consumption while offering comparable or even better execution time. Memory savings range from 60% to 88% thanks to reduced overhead and some operations execute 1.5x to 50x faster. We present our results as a comprehensive guideline to help developers in identifying the scenarios in which an alternative implementation can provide a substantial performance improvement. Finally, we discuss how some coding patterns result in substantial performance differences of collections.}, acmid = {3030221}, added-at = {2018-01-15T17:31:16.000+0100}, address = {New York, NY, USA}, author = {Costa, Diego and Andrzejak, Artur and Seboek, Janos and Lo, David}, biburl = {https://www.bibsonomy.org/bibtex/2b41a078eda7211c5a0225eb1c7cbfeb0/gron}, booktitle = {Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering}, description = {Empirical Study of Usage and Performance of Java Collections}, doi = {10.1145/3030207.3030221}, interhash = {d4ad4eeaa3bf151508506d442199f037}, intrahash = {b41a078eda7211c5a0225eb1c7cbfeb0}, isbn = {978-1-4503-4404-3}, keywords = {ArrayList Collections DataStructures Java JustInTime Optimization Performance Survey Usage}, location = {L'Aquila, Italy}, numpages = {12}, pages = {389--400}, publisher = {ACM}, series = {ICPE '17}, timestamp = {2018-01-15T17:31:16.000+0100}, title = {{Empirical Study of Usage and Performance of Java Collections}}, url = {http://doi.acm.org/10.1145/3030207.3030221}, year = 2017 }