jStanley: placing a green thumb on Java collections

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Pereira, R (Autor) Outra; Simão, P (Autor) Outra; Cunha, J (Autor) Outra; Saraiva, J (Autor) Outra

Ata de Conferência Internacional

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

Páginas: 856-859

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

3 September 2018 through 7 September 2018

Indexação

Scopus - 13 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica