DocumentCode
188708
Title
Athena: A Visual Tool to Support the Development of Computational Intelligence Systems
Author
Oliveira, Pedro ; Souza, Matheus ; Braga, Ronyerison ; Britto, Ricardo ; Lira Rabelo, Ricardo ; Neto, Pedro Santos
Author_Institution
Dept. of Comput. Sci., Univ. Fed. do Piaui, Teresina, Brazil
fYear
2014
fDate
10-12 Nov. 2014
Firstpage
950
Lastpage
959
Abstract
Computational Intelligence (CI) embraces techniques designed to address complex real-world problems in which traditional approaches are ineffective or infeasible. Some of these techniques are being used to solve several complex problems, such as the team allocation, building products portfolios in a software product line and test case selection/prioritization. However, despite the usefulness of these applications, the development of solutions based in CI techniques is not a trivial activity, since it involves the implementation/adaptation of algorithms to specific context and problems. This work presents Athena, a visual tool developed aiming at offering a simple approach to develop CI-based software systems. In order to do this, we proposed a drag-and-drop approach, which we called CI as a Service (CIaaS). Based on a preliminary study, we can state that Athena can help researchers to save time during the development of computational intelligence approaches.
Keywords
artificial intelligence; software product lines; visual programming; Athena; CI techniques; CI-as-a-Service; CIaaS; Computational Intelligence Systems; drag-and-drop approach; prioritization; software product line; test case selection; trivial activity; visual programming; visual tool; Algorithm design and analysis; Computational intelligence; Computational modeling; Productivity; Remuneration; Resource management; Visualization; Artificial Intelligence; Computational Intelligence; Service; Tool; Visual Programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
Conference_Location
Limassol
ISSN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2014.144
Filename
6984580
Link To Document