Performance is considered an important feature rather than the application of programming techniques for better software design in most scientific software developers. Therefore, the problem arises if the software is developed without considering a specific paradigm or some programming technique when performing maintenance; tasks related to this activity are complicated, since almost no one would understand the source code. The goal of this research is to verify the performance of the software with or without an encapsulation component. An ex-post-facto experimental methodology has been implemented, carrying out a descriptive analysis of the data and then concluding by verifying the hypothesis by means of a robust test. This work was carried out by running algorithms written in the programming language Java by using three data groups in different conditions to analyze their behavior. Results show is that the application of the encapsulation component of the object-oriented paradigm does affect the execution of the scientific software performance.
|Title of host publication||Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021|
|Editors||Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||11|
|State||Published - 2022|
|Event||7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online|
Duration: 26 May 2021 → 28 May 2021
|Name||Smart Innovation, Systems and Technologies|
|Conference||7th International Conference on Science, Technology and Innovation for Society, CITIS 2021|
|Period||26/05/21 → 28/05/21|
Bibliographical noteFunding Information:
Acknowledgements Thanks to Universidad Politécnica Salesiana, due to the financial contribution to this research work, which is within the framework of the research project: “ACISoft—Computational Analysis in Software Engineering” carried out in the Research Group of Software Engineering and Knowledge Engineering (GIISIC).
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Data science
- Design software
- Scientific software
- Software engineering