10,977 research outputs found
Designing Traceability into Big Data Systems
Providing an appropriate level of accessibility and traceability to data or
process elements (so-called Items) in large volumes of data, often
Cloud-resident, is an essential requirement in the Big Data era.
Enterprise-wide data systems need to be designed from the outset to support
usage of such Items across the spectrum of business use rather than from any
specific application view. The design philosophy advocated in this paper is to
drive the design process using a so-called description-driven approach which
enriches models with meta-data and description and focuses the design process
on Item re-use, thereby promoting traceability. Details are given of the
description-driven design of big data systems at CERN, in health informatics
and in business process management. Evidence is presented that the approach
leads to design simplicity and consequent ease of management thanks to loose
typing and the adoption of a unified approach to Item management and usage.Comment: 10 pages; 6 figures in Proceedings of the 5th Annual International
Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015), Singapore
July 2015. arXiv admin note: text overlap with arXiv:1402.5764,
arXiv:1402.575
The GOALS approach: business and software modeling traceability by means of human-computer interaction: enterprise modeling language and method
The management of an enterprise relies on the continuous organization and development of its business and software systems. A process that requires merging the ideas of the enterpriseâ systems managers, targeting the specification of business requirements and the conception and implementation of a supporting information system. This process finds obstacles in the identification and communication of requirements, and also in their transformation in software artefacts, leading to difficulties or loss of traceability between business and software models. Existing methods, languages and techniques are still not sufficiently standardized to ensure that when a business improvement is introduced, the supportive software solution will be implemented within budget and time. Methods are still too closed to the concepts of their original scientific domains, conceiving solutions which are not representative of the business and software conceptual relation and of the complexity concealed in an improvement effort, namely concerning usability and user experience. Moreover, the lack of a common modeling language and method for the conception of holistic and traceable software solutions, also refrains the performance of the enterprise development process. The GOALS Approach presents a solution to surpass these barriers by means of the specification of an enterprise modeling language that relates the business and software conceptual structures using a shared set of concepts, a notation, process, method and techniques, that allow the design of the software as a result of the business organization, ensuring traceability by means of the permanent representation of the business structure in the software structure
Designing Reusable Systems that Can Handle Change - Description-Driven Systems : Revisiting Object-Oriented Principles
In the age of the Cloud and so-called Big Data systems must be increasingly
flexible, reconfigurable and adaptable to change in addition to being developed
rapidly. As a consequence, designing systems to cater for evolution is becoming
critical to their success. To be able to cope with change, systems must have
the capability of reuse and the ability to adapt as and when necessary to
changes in requirements. Allowing systems to be self-describing is one way to
facilitate this. To address the issues of reuse in designing evolvable systems,
this paper proposes a so-called description-driven approach to systems design.
This approach enables new versions of data structures and processes to be
created alongside the old, thereby providing a history of changes to the
underlying data models and enabling the capture of provenance data. The
efficacy of the description-driven approach is exemplified by the CRISTAL
project. CRISTAL is based on description-driven design principles; it uses
versions of stored descriptions to define various versions of data which can be
stored in diverse forms. This paper discusses the need for capturing holistic
system description when modelling large-scale distributed systems.Comment: 8 pages, 1 figure and 1 table. Accepted by the 9th Int Conf on the
Evaluation of Novel Approaches to Software Engineering (ENASE'14). Lisbon,
Portugal. April 201
A Provisional Framework for Studying Information Connectivity in Food Networks
Through a discussion of peculiarities of food supply, involving focus on information connectivity, a preliminary framework is sought that underlines joint responsibility in a complete supply chain of actors working in network context to achieve safe, quality and economic provision of products to end-use.Food chains and networks, Complete chain and network approach, Information connectivity, Enterprise modelling, Product traceability, Agribusiness, Agricultural and Food Policy, Farm Management, Food Consumption/Nutrition/Food Safety, Industrial Organization,
A Case Study on Artefact-based RE Improvement in Practice
Most requirements engineering (RE) process improvement approaches are
solution-driven and activity-based. They focus on the assessment of the RE of a
company against an external norm of best practices. A consequence is that
practitioners often have to rely on an improvement approach that skips a
profound problem analysis and that results in an RE approach that might be
alien to the organisational needs. In recent years, we have developed an RE
improvement approach (called \emph{ArtREPI}) that guides a holistic RE
improvement against individual goals of a company putting primary attention to
the quality of the artefacts. In this paper, we aim at exploring ArtREPI's
benefits and limitations. We contribute an industrial evaluation of ArtREPI by
relying on a case study research. Our results suggest that ArtREPI is
well-suited for the establishment of an RE that reflects a specific
organisational culture but to some extent at the cost of efficiency resulting
from intensive discussions on a terminology that suits all involved
stakeholders. Our results reveal first benefits and limitations, but we can
also conclude the need of longitudinal and independent investigations for which
we herewith lay the foundation
An analysis of the requirements traceability problem
In this paper1, we investigate and discuss the underlying nature
of the requirements traceability problem. Our work is based on
empirical studies, involving over 100 practitioners, and an
evaluation of current support. We introduce the distinction
between pre-requirements specification (pre-RS) traceability
and post-requirements specification (post-RS) traceability, to
demonstrate why an all-encompassing solution to the problem is
unlikely, and to provide a framework through which to
understand its multifaceted nature. We report how the majority
of the problems attributed to poor requirements traceability are
due to inadequate pre-RS traceability and show the fundamental
need for improvements here. In the remainder of the paper, we
present an analysis of the main barriers confronting such
improvements in practice, identify relevant areas in which
advances have been (or can be) made, and make
recommendations for research
A Preliminary Study of Applying Lean Six Sigma Methods to Machine Tool Measurement
Many manufacturers aim to increase their levels of high-quality production in order to improve their market competitiveness. Continuous improvement of maintenance strategies is a key factor to be capable of delivering high quality products and services on-time with minimal operating costs. However, the cost of maintaining quality is often perceived as a non-added-value task. Improving the efficiency and effectiveness of the measurement procedures necessary to guarantee accuracy of production is a more complex task than many other maintenance functions and so deserves particular analysis.
This paper investigates the feasibility of producing a concise yet effective framework that will provide a preliminary approach for integrating Lean and Six Sigma philosophies to the specific goal of reducing unnecessary downtime on manufacturing machines while maintaining its ability to machine to the required tolerance.
The purpose of this study is to show how a Six Sigma infrastructure is used to investigate the root causes of complication occurring during the machine tool measurement. This work recognises issues of the uncertainty of data, and the measurement procedures in parallel with the main tools of Six Sigmaâs Define-Measure-Analyse-Improve-Control (DMAIC).
The significance of this work is that machine tool accuracy is critical for high value manufacturing. Over-measuring the machine to ensure accuracy potentially reduces production volume. However, not measuring them or ignoring accuracy aspects possibly lead to production waste. This piece of work aims to present a lean guidance to lessen measurement uncertainties and optimise the machine tool benchmarking procedures, while adopting the DMAIC strategy to reduce unnecessary downtime
State of the Industry 4.0 in the Andalusian food sector
The food industry is a key issue in the economic structure of Andalusia, due to both the weight and position of this industry in the economy and its advantages and potentials.
The term Industry 4.0 carries many meanings. It seeks to describe the intelligent factory, with all the processes interconnected by Internet of things (IOT). Early advances in this field have involved the incorporation of greater flexibility and individualization of the manufacturing processes.
The implementation of the framework proposed by Industry 4.0. is a need for the industry in general, and for Andalusian food industry in particular, and should be seen as a great opportunity of progress for the sector. It is expected that, along with others, the food and beverage industry will be pioneer in the adoption of flexible and individualized manufacturing processes.
This work constitutes the state of the art, through bibliographic review, of the application of the proposed paradigm by the Industry 4.0. to the food industry.TelefĂłnica, through the âCĂĄtedra de TelefĂłnica Inteligencia en la RedâPaloma Luna Garrid
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