SC Harvester Papers Database Interface

Design Principles for Hybrid Decision Support Systems in IT Service Management

Lu Cao, Juho Lindman, Stefan Cronholm, Hannes Göbel. 2024

Safety Argumentation for Machinery Assembly Control Software

Julieth Patricia Castellanos Ardila, S. Punnekkat, Hans A. Hansson, Peter Backeman. In: . 2024

Conceptual Design of Multimodal Learning Analytics for Spoken Language Acquisition

Hamza Ouhaichi, Daniel Spikol, Zaibei Li, Bahtijar Vogel. In: . 2024

Supporting Value-Aware Software Engineering Through Traceability and Value Tactics

Rebekka Wohlrab, Marc Herrmann, Christopher Lazik, Marvin Wyrich, Inês Nunes et al. In: . 2024

Guidelines for Supporting Software Engineers in Developing Secure Web Applications

Klara Svensson, Drake Axelrod, Mazen Mohamad, Rebekka Wohlrab. In: . 2024

ALCEA: The Architecture Life-Cycle Effect Analysis Method

Jakob Axelsson, Damir Bilić, Daniel Brahneborg, Joakim Fröberg, Henrik Gustavsson et al. In: IEEE Open Journal of Systems Engineering. 2024

Abstract: This article describes the architecture life cycle effect analysis (ALCEA) method, a structured method for evaluating proposed new architectures for software-intensive systems. The method evaluates a proposed architecture by quantifying its effect on the performance of system life-cycle phases. The method is instantiated by identifying the relevant life-cycle phases of the system under investigati...

Flexible Modelling: a Systematic Literature Review

R. Jongeling, Federico Ciccozzi. In: J. Object Technol.. 2024

Actors Upgraded for Variability, Adaptability, and Determinism

R. Khosravi, Ehsan Khamespanah, F. Ghassemi, M. Sirjani. In: . 2024

Model Execution: From a Retrospective on Code Generation to a Perspective on Model Compilation

Federico Ciccozzi. In: . 2024

Learning Swedish with AI: Exploring Multimodal Learning Analytics in Spoken Language Acquisition

Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel. In: . 2024

A Proposal for Enhancing IEC 61508 Methodology for the β-Factor Estimation

Sirisha Bai Govardhan Rao, Julieth Patricia Castellanos Ardila, S. Punnekkat. In: . 2024

ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments

Maghsood Salimi, Mohammad Loni, Sara Afshar, Marjan Sirjani, Antonio Cicchetti. In: ArXiv. 2023

Abstract: The increasing demand for autonomous machines in construction environments necessitates the development of robust object detection algorithms that can perform effectively across various weather and environmental conditions. This paper introduces a new semantic segmentation dataset specifically tailored for construction sites, taking into account the diverse challenges posed by adverse weather and ...

Prediction of Wedelia trilobata Growth under Flooding and Nitrogen Enrichment Conditions by Using Artificial Neural Network Model

Ahmad Azeem, W. Mai, Changyan Tian, Muhammad Uzair Qamar, Noman Ali Buttar. In: Polish Journal of Environmental Studies. 2023

Abstract: The objective of this study is to produce multi-criteria model for the dry weight prediction of Wedelia trilobata under flooding and nitrogen conditions. Plants of W. trilobata were grown in a greenhouse, and treatments were given for two months . Growth parameters of 60 plants were used to build a numerical model. The neural network model was built using Quasi-Newton approaches that containing Br...

CAMP: a hierarchical cache architecture for multi-core mixed criticality processors

Arun S. Nair, Geeta Patil, Archita Agarwal, Aboli Vijayan Pai, B. Raveendran et al. In: International Journal of Parallel, Emergent and Distributed Systems. 2023

Abstract: CAMP proposes a hierarchical cache subsystem for multi-core mixed criticality processors, focusing on ensuring worst-case execution time (WCET) predictability in automotive applications. It incorporates criticality-aware locked L1 and L2 caches, reconfigurable at mode change intervals, along with criticality-aware last level cache partitioning. Evaluation using CACOSIM, Moola Multicore simulator, ...

Modeling Plant Height and Biomass Production of Cluster Bean and Sesbania across Diverse Irrigation Qualities in Pakistan’s Thar Desert

Ahmad Azeem, W. Mai, Rajib Ali. In: Water. 2023

Abstract: Plant height (PH) plays a crucial role in determining per-plant growth and biomass production. Various characteristics of PH, along with the formulation of mathematical growth models, can provide a theoretical yield or biomass production based on water quality, fruit quality, and yields. The aim of this study was to investigate the relationship between PH and biomass per-plant production of two fo...