Evaluation of the State-Constraint Transition Modelling Language

Achtaich, Asmaa; Roudiès, Ounsa; Souissi, Nissrine; Salinesi, Camille; Mazo, Raúl

doi:10.1145/3307630.3342417

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The existing methods for assessing soil moisture can be considered satisfactory only for conditions of calm relief. In conditions of a leveled relief, soil moisture reserves in the fields with similar agricultural techniques were determined by climatic conditions, the nature of soil varieties, and the characteristics of vegetation [22][23][24][25][26]. In rough terrain, in addition to the listed above factors, the moisture reserves in the soil depend on the location of the sites in climatic zones.…”

Section: Methodsmentioning

confidence: 99%

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In recent years, nanotechnology has been considered a useful technology for agriculture and has been studied in the fields of water management and crop production and the use of nanotechnology in crop breeding, production, and plant protection methods. In comparison with other agricultural machinery, Nano water sprinkling machines Fregat has more difficult working conditions in terms of rutting and traction-adhesion properties due to reduced bearing capacity of wetted soils, long sprinkling machine lengths, and irrigated areas with a wide range of strength and relief characteristics. Therefore, the most important in improving multi-support sprinkling machines is, first of all, the study of the soil-relief conditions of irrigated lands and their influence on the technological and technical ways of solving the problem of its soil trafficability. Also important is the issue of adhesion of the undercarriage systems of the sprinkling machine bogies. Fregat sprinkling machine DMU-B-463-90 was used in the Lukhovitsky District of the Moscow Region. The stuhollow punchs were carried out on soddy podzolic medium loamy soils. Cleaning devices for undercarriage systems providing wheel cleaning have been proposed. According to industrial research data obtained in production conditions, all high-quality operational, technological, and reliability indicators of Fregat sprinkling machines equipped with cleaning devices have rather high values, correspond to agrotechnical requirements, and exceed similar values inherent in the serial modifications of other sprinkling machines on average by 30-35 %.

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Section: Methodsmentioning

confidence: 99%

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Variability Management in Dynamic Software Product Lines for Self-Adaptive Systems—A Systematic Mapping

Aguayo

Sepúlveda

2022

Applied Sciences

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Context: Dynamic software product lines (DSPLs) have considerably increased their adoption for variability management for self-adaptive systems. The most widely used models for managing the variability of DSPLs are the MAPE-K control loop and context-aware feature models (CFMs). Aim: In this paper, we review and synthesize evidence of using variability constraint approaches, methodologies, and challenges for DSPL. Method: We conducted a systematic mapping, including three research questions. This study included 84 papers published from 2010 to 2021. Results: The main results show that open-dynamic variability shows a presence in 57.1% of the selected papers, and on the other hand, closed-dynamic variability appears in 38.1%. The most commonly used methodology for managing a DSPL environment is based on proprietary architectures (60.7%), where the use of CFMs predominates. For open-dynamic variability approaches, the MAPE-K control loop is mainly used. The main challenges in DSPL management are based on techniques (28.6%) and open variation (21.4%). Conclusions: Open-dynamic variability has prevailed over the years as the primary approach to managing variability in DSPL, where its primary methodology is the MAPE-K control loop. Response RQ3 requires further review.

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Evaluation of the State-Constraint Transition Modelling Language

Cited by 2 publications

References 17 publications

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Variability Management in Dynamic Software Product Lines for Self-Adaptive Systems—A Systematic Mapping

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