Requirements volatility in multicultural situational contexts

Requirements volatility refers to additions, deletions, and modifications of requirements during the system development life cycle. Different approaches in software development, including Agile and DevOps, have addressed requirements volatility by increasing user participation throughout the whole development process. In this paper, we analyse requirements volatility from a situational context angle with the aim to increase understanding of the role of culture and cultural diversity in a multicultural requirements elicitation process. Research on the situational context in Requirements Engineering (RE) is rather limited, despite the recognized importance of RE and requirements elicitation for improving the quality of the final system and software product. This paper builds on an extensive literature review demonstrating the importance of raising awareness and understanding of the role of culture and cultural diversity for requirements volatility, as one of the most significant situational factors in the requirements elicitation process, with the aim to improve the whole systems development process as well as the resulting products and services. The paper concludes with the presentation of the Requirements Cultural Volatility Framework which aims to reveal potential conflicts that may occur in requirements elicitation on a multiplicity of cultural dimensions, The framework proposes actions to be taken in order to address the conflicts and point out expected benefits on each dimension

SCIF-IRIS Framework: A framework to facilitate interoperability in supply chains

One approach that allows improving the collaboration among all the enterprises within a supply chain is interoperability. Interoperability allows the enterprises in the supply chain to collaborate in an efficient manner while preserving their own identities and their own ways of doing business through mechanisms that act as facilitators. However, there are few real practical examples of supply chain interoperability that can be used as a reference. In this paper, we present a framework that can facilitate supply chain interoperability and an example of how it can be applied to a food supply chain

Needs and challenges for assessing the environmental impacts of engineered nanomaterials (ENMs).

The potential environmental impact of nanomaterials is a critical concern and the ability to assess these potential impacts is top priority for the progress of sustainable nanotechnology. Risk assessment tools are needed to enable decision makers to rapidly assess the potential risks that may be imposed by engineered nanomaterials (ENMs), particularly when confronted by the reality of limited hazard or exposure data. In this review, we examine a range of available risk assessment frameworks considering the contexts in which different stakeholders may need to assess the potential environmental impacts of ENMs. Assessment frameworks and tools that are suitable for the different decision analysis scenarios are then identified. In addition, we identify the gaps that currently exist between the needs of decision makers, for a range of decision scenarios, and the abilities of present frameworks and tools to meet those needs

Methods and uncertainties in the assessment of the health effects of fine particulate matter (PM2.5) air pollution

Verkkoversiossa ei alkuperäisartikkeleit

Theoretical model for cascading effects analyses

Abstract In case of exceptional events of natural or anthropogenic type, the elements at risk (people, buildings, infrastructures, economy, etc.) are often hit by sequences of 'cascading events', function of time and space, caused by the triggering event (earthquake, landslide, volcanic eruption, fire, electric failure, etc.). Generally, sequences of events can involve the same element at risk, and the combined effects of cascading phenomena can strongly amplify the impact caused by single events in terms of extension of the affected area and damage level. The final impact on the territory can be significant and require to be carefully assessed in terms of emergency planning and management. This paper discusses from a theoretical point of view the modelling needs and the main issues to be taken into account in the development of simulation tools aiming to include cascading effects analyses to effectively support decision-makers in their preparedness and disaster mitigation strategies in the framework of emergency planning at local, national and international level. The model aims at developing cascading effects scenarios at different level of detail, depending on the availability of inventory/exposure data for the different categories of elements at risk and hazard/impact models for the various hazard sources. It has been developed within EU-FP7 SNOWBALL project (Lower the impact of aggravating factors in crisis situations thanks to adaptive foresight and decision-support tools, 2015–2017)

Decision Support System to Select the Most Effective Strategies for Mitigating the Urban Heat Island Effect Using Sustainability and Resilience Performance Measures

As climate change continues to alter the temperature of the cities, various urban heat island mitigation strategies (UHIMSs) are now needed to be employed to mitigate the effects of increasing temperatures. However, to ensure their resilience and sustainability, the effectiveness of such strategies should be evaluated using a set of criteria. According to a review of the literature, there is a need for a comprehensive model and performance assessment tool that considers the various characteristics and features that are significant in assessing whether the chosen strategies are viable candidates for minimizing the effects of urban heat island (UHI). As a result, the primary purpose of this study is to develop a decision support system (DSS) to assist decision-makers in reducing the effects of the UHI by allowing them to choose the most viable mitigation method/technique based on resiliency and sustainability concerns. The DSS would function as a performance measure selecting tool in form of a quick-selection-guide-sheet of most effective method(s)/technique(s). Therefore, this study has identified, categorized, and organized affecting parameters in a comprehensive hierarchical framework based on sustainability and resilience. The system starts by creating a list of objectives (sustainability andresilience), criteria (economic, environmental, social, vulnerability, and resistance to change), attributes, and the most used mitigation methods for the UHI effect. The system\u27s second component is the main engine (using the Weighted Scoring method (WSM)), which is responsible for determining the best mitigation strategies - the system\u27s predefined goal. The WSM is being used in this study to develop matrices to do a pairwise comparison of criteria, assign a relative weight to each criterion, score each strategy against each criterion, and calculate the weighted scores based on gathered data from experts elicitation exercises. Decision-makers can analyze the UHIMSs after the matrix has been set up with weighted scores to find the best method that fits their needs (system objective). The third key component is the user-friendly interface, which combines the previous two components of the system and applies spreadsheets to present the best feasible mitigation strategy. The contribution this study seeks is to develop a DSS resembling a knowledge-sharing platform to support stakeholders like urban planners, architects, decision-makers, and policymakers in the extraction of UHIMSs, and in a wide scope, the expected benefit would be more sustainable more resilient design. In addition, this study serves as a foundation for the establishment of a dynamic computer-based decision support system (DSS) for selecting the most efficient UHIMSs

Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.

The effective management of knowledge as capital is considered essential to the success of engineering product/service systems. As Knowledge Management (KM) and Product Lifecycle Management (PLM) practice gain industrial adoption, the question of functional overlaps between both the approaches becomes evident. This article explores the interoperability between PLM and Knowledge-Based Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM practitioners are systematically captured and analysed. A set of ranked business functionalities to be fulfiled by the KBE/PLM systems integration is elicited. The article provides insights for the researchers and the practitioners playing both the user and development roles on the future needs for knowledge systems based on PLM

An Agent-Based Decision Support Model for the Development of E-Services in the Tourist Sector

This paper regards cultural heritage as a strategic development tool for urban tourist policy. It highlights the use of e-services as a central instrument in a competitive tourist sector. The appropriate choice of e-services - and packages thereof - depends on the various strategic considerations of urban stakeholders (agents) and may differ for each individual city. The paper offers a systematic analysis framework for supporting these choices and deploys multi-criteria analysis as a systematic evaluation methodology, in particular the Regime method. The evaluation framework is exemplified through an application to three field cases in Europe, viz. the cities of Amsterdam, Genoa and Leipzig. Our analysis concludes that tailor-made packages of e-services that serve the needs of the stakeholders can be made with the help of our evaluation tools.cultural heritage, e-services, city marketing, agent-based decision support model