VLDB 2026 Research / reviewers in the wild / expert
Carlos Cano-Genoves
dblp:189/1068
· DBLP profile ↗
4ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0001-5201-9449ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 4 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | VeGAn-Tool: A fuzzy-logic approach for value-based goal model analysis
Carlos Cano-Genoves, Emilio Insfrán, Silvia Abrahão |
Sci. Comput. Program. | 1 |
| 2022 | Experimental Comparison of Two Goal-oriented Analysis Techniques
Carlos Cano-Genoves, Silvia Abrahão, Emilio Insfrán |
MODELSWARD | 1 |
| 2019 | Assessing the effectiveness of goal-oriented modeling languages: A family of experiments
Silvia Abrahão, Emilio Insfrán, Fernando González-Ladrón-de-Guevara, Marta Fernández-Diego, Carlos Cano-Genoves, Raphael Pereira de Oliveira |
Inf. Softw. Technol. | 5 |
| 2018 | Comparing the effectiveness of goal-oriented languages: results from a controlled experimentabstractContext. Several early requirements approaches focus on modeling objectives, interest or benefits of related stakeholders. However, as they can be used for different purposes as identifying problems, exploring system solutions, evaluating alternatives, etc., there are no clear guidelines on how to build these models, which constructs of the language must be used in each case, and most importantly, how to use these models downstream to the software requirements and design artifacts. Background. In a previous work, we proposed a specialization of the GRL language ([email protected]) to specify stakeholders' goals when dealing with early requirements in the context of incremental software development. Goal/Method. This paper reports on a controlled experiment aimed at comparing the goal model quality and the productivity, perceived ease of use, and perceived usefulness of participants when using [email protected] and i* languages. Results. The results showed that [email protected] obtained better results than i* as a goal modeling language indicating that it can be considered as a promising emerging approach in this area. Conclusions. [email protected] allows obtaining goal models with good quality that may be later used downstream software development activities. Silvia Abrahão, Emilio Insfrán, Fernando González-Ladrón-de-Guevara, Marta Fernández-Diego, Carlos Cano-Genoves, Raphael Pereira de Oliveira |
ESEM | 5 |