Reviewing Automated Analysis of Feature Model Solutions for the Product Configuration

Vidal-Silva, Cristian; Duarte, Vannessa; Cobo, Jesennia Cárdenas; Serrano-Malebrán, Jorge; Veas-González, Ivan; Rubio-León, José

doi:10.3390/app13010174

Cited by 3 publications

(1 citation statement)

References 76 publications

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“…Additionally, based on the results obtained, the student can calculate the pure tone average (PTP) and identify the hearing loss and degree of severity. Concerning the software engineering world, SAEF represents an open-source multiplatform application developed in JAVA [26] using a MySQL database [27], with standard and specialized functionalities following a software product line approach (SPL) [28].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Health Education Simulator Using Open-Source Technology

Oyarzún-Diaz,

Orellana-Cortés,

Segura

et al. 2023

Sustainability

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The information society has transformed human life. Technology is almost everywhere, including health and education. For example, years ago, speech and language therapy major students required a long time and high-cost equipment to develop healthcare competencies regarding the auditory and vestibular systems. The high cost of the equipment permitted its practical use only in classes, hindering students’ autonomy in developing those competencies. That situation was a real issue, even more in pandemic times where online education was essential. This article describes SAEF, an open-source software simulator for autonomously developing procedural audiology therapy competencies, user acceptance of this tool, and the validity of experiments and results. A great feature of SAEF is the immediate feedback and performance results delivered. A great achievement is the obtained results of students for its validity and its acceptability among speech and language therapy educators. Those results invite authors to continue developing free-access simulator software solutions in other health education contexts. SAEF was developed using open-source technology to facilitate its accessibility, classification, and sustainability.

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Section: Introductionmentioning

confidence: 99%

Sustainable Health Education Simulator Using Open-Source Technology

Oyarzún-Diaz,

Orellana-Cortés,

Segura

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

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Speculative computing for AAFM solutions in large-scale product configurations

Vidal-Silva,

Duarte,

Cárdenas-Cobo

et al. 2024

Sci Rep

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Parallel computing is a current algorithmic approach to looking for efficient solutions; that is, to define a set of processes in charge of performing at the same time the same task. Advances in hardware permit the massification of accessibility to and applications of parallel computing. Nonetheless, some algorithms include steps that require or depend on the results of other steps that cannot be parallelized. Speculative computing allows parallelizing those tasks and reviewing different execution flows, which can involve executing invalid steps. Speculative computing solutions should reduce those invalid flows. Product configuration refers to selecting features from a set of available options respecting some configuration constraints; a not complex task for small configurations and models, but a complex one for large-scale scenarios. This article exemplifies a videogame product line feature model and a few configurations, valid and non-valid, respectively. Configuring products of large-scale feature models is a complex and time-demanding task requiring algorithmic solutions. Hence, parallel solutions are highly desired to assist the feature model product configuration tasks. Existing solutions follow a sequential computing approach and include steps that depend on others that cannot be parallelized at all, where the speculative computing approach is necessary. This article describes traditional sequential solutions for conflict detection and diagnosis, two relevant tasks in the automated analysis of feature models, and how to define their speculative parallel version, highlighting their computing improvements. Given the current parallel computing world, we remark on the advantages and current applicability of speculative computing for producing faster algorithmic solutions.

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Sustainable Health Education Simulator Using Open-Source Technology

Oyarzún-Díaz¹,

Orellana²,

Segura³

et al. 2023

Preprint

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The information society has transformed human life. Technology is almost everywhere, including health and education. For example, years ago, speech and language therapy students required a long time and high-cost equipment to develop healthcare of the auditory and vestibular systems competencies. The high cost of the equipment permitted its practical use only in classes, hindering students’ autonomy in developing those competencies. That situation was a real issue, even more in times of pandemic where online education was essential. This article describes SAEF, an open-source software simulator for autonomously developing procedural audiology therapy competencies, user acceptance, and the validity of experiments and results. SAEF delivers immediate feedback and performance results. Obtained results permit validating students’ and educators’ acceptability of SAEF in audiology therapy education. Obtained results invite authors to continue developing simulator software solutions in other health education contexts. SAEF was developed using open-source technology to facilitate its accessibility, classification, and sustainability.

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Reviewing Automated Analysis of Feature Model Solutions for the Product Configuration

Cited by 3 publications

References 76 publications

Sustainable Health Education Simulator Using Open-Source Technology

Sustainable Health Education Simulator Using Open-Source Technology

Speculative computing for AAFM solutions in large-scale product configurations

Sustainable Health Education Simulator Using Open-Source Technology

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