VLDB 2026 Research / reviewers in the wild / expert
Felicien Ihirwe
dblp:274/1609 · also Jean Felicien Ihirwe
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0002-4463-6268ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Assessing the Quality of Low-Code and Model-Driven Engineering Platforms for Engineering IoT SystemsabstractOver the last few years, industry and academia have proposed several Low-Code and Model-driven Engineering (MDE) platforms to ease the engineering process of the Internet of things (IoT) systems. However, deciding whether such engineering platforms meet the minimum required software quality standards is not straightforward. Software quality can be defined as the degree to which a software system achieves its intended goal. Various software quality standards have been established to aid in the software quality assessment process; however, due to the nature of engineering IoT platforms, such models may not entirely suit the IoT domain. This paper presents a model for assessing the software quality of Low-Code and MDE platforms for engineering IoT platforms. The proposed software quality model is based on and extends the ISO/IEC 25010:2011 software product quality model standard. It is intended to assist IoT practitioners in assessing and establishing quality requirements for engineering IoT platforms. To determine the effectiveness of the proposed model, we used it to evaluate the quality of 17 IoT engineering platforms, and the results obtained are promising. Felicien Ihirwe, Davide Di Ruscio, Simone Gianfranceschi, Alfonso Pierantonio |
QRS | 1 |
| 2021 | Model-based Analysis Support for Dependable Complex Systems in CHESSabstractInternational audience Alberto Debiasi, Felicien Ihirwe, Pierluigi Pierini, Silvia Mazzini, Stefano Tonetta |
MODELSWARD | 2 |