jStanley: placing a green thumb on Java collections

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Pereira, R (Author) Other; Simão, P (Author) Other; Cunha, J (Author) Other; Saraiva, J (Author) Other

Conference proceedings International

Title: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, ASE 2018, Montpellier, France, September 3-7, 2018

Pages: 856-859

33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018

3 September 2018 through 7 September 2018

Indexing

Scopus - 13 Citations

Other information

Authenticus ID: P-00P-K99

DOI: 10.1145/3238147.3240473

Abstract (EN): Software developers are more and more eager to understand their code's energy performance. However, even with such knowledge it is difficult to know how to improve the code. Indeed, little tool support exists to understand the energy consumption profile of a software system and to eventually (automatically) improve its code. In this paper we present a tool termed jStanley which automatically finds collections in Java programs that can be replaced by others with a positive impact on the energy consumption as well as on the execution time. In seconds, developers obtain information about energy-eager collection usage. jStanley will further suggest alternative collections to improve the code, making it use less time, energy, or a combination of both. The preliminary evaluation we ran using jStanley shows energy gains between 2% and 17%, and a reduction in execution time between 2% and 13%. A video can be seen at https://greensoftwarelab.github.io/jStanley. © 2018 Association for Computing Machinery.

Language: English

Type (Professor's evaluation): Scientific