Engineering model transformations with transML

The final publication is available at Springer via http://dx.doi.org/10.1007%2Fs10270-011-0211-2Model transformation is one of the pillars of model-driven engineering (MDE). The increasing complexity of systems and modelling languages has dramatically raised the complexity and size of model transformations as well. Even though many transformation languages and tools have been proposed in the last few years, most of them are directed to the implementation phase of transformation development. In this way, even though transformations should be built using sound engineering principles—just like any other kind of software—there is currently a lack of cohesive support for the other phases of the transformation development, like requirements, analysis, design and testing. In this paper, we propose a unified family of languages to cover the life cycle of transformation development enabling the engineering of transformations. Moreover, following an MDE approach, we provide tools to partially automate the progressive refinement of models between the different phases and the generation of code for several transformation implementation languages.This work has been sponsored by the Spanish Ministry of Science and Innovation with project METEORIC (TIN2008-02081), and by the R&D program of the Community of Madrid with projects “e-Madrid" (S2009/TIC-1650). Parts of this work were done during the research stays of Esther and Juan at the University of York, with financial support from the Spanish Ministry of Science and Innovation (grant refs. JC2009-00015, PR2009-0019 and PR2008-0185)

Traceability in Food Systems: An Economic Analysis of LGMA and the 2006 Spinach Outbreak

This case study presents an in-depth review of network structures and costs associated with the implementation of traceability systems in California leafy green production, distribution, and retailing. The 2006 spinach outbreak is used to assess the economic impact of trace back/forward response time of the LGMA system, an example of a tightly coupled, linear supply network. Results suggest that the benefits of traceability systems may far outweigh the costs and that costs vary significantly by technology used and by grower size. Implications are derived for cost-effectiveness of rapid response, targeted trace back/forward systems in other types of supply networks.traceability, produce, supply networks, cost-effectiveness, Food Consumption/Nutrition/Food Safety, Production Economics, Q18, I18, L51,

Meat Slaughter and Processing Plants’ Traceability Levels Evidence From Iowa

In the United States (U.S.), there is no uniform traceability regulation across food sector. Food and Drug Administration (FDA) implemented one-step back and one-step forward traceability over the industries under its jurisdiction. U.S. Department of Agriculture (USDA), which oversees meat, poultry and egg production, requires some record keeping as part of food safety regulation. Particularly, a two-part-system has developed; live animal traceability and meat traceability with slaughter and processing plants in between. This paper studies the question of whether (and if so how) meat plants’ traceability levels vary with respect to the following factors; product specific (credence versus experience and search attributes, branded versus commodity meat, being exporter), organizational (spot market versus contracting), food safety related, and plant specific (a quality assurance system in place, number of sources, size, capital-labor ratio, etc.).traceability, food safety, quality assurances, animal ID, RFID,

Using active database for management of requirements change

Software system development projects experience numerous changes during their life cycle. These changes are inevitable and driven by several factors including changes to a system\u27s environment and changes of customers\u27 needs. Requirements change has been reported as the major contributing factor for poor quality or even failures of software projects. This indicates that management of requirements change still remains a challenging problem in software development. A critical part of the requirements change management process is impact analysis. To carry out impact assessment, traceability information is needed. Over two decades, requirements traceability has been an important research topic in software research, but the actual practice of maintaining traceability information is not always entirely successful. In this thesis, a new traceability technique was presented for mapping dynamic behaviors of requirements into Active Databases. The technique keeps requirements and their related artifacts synchronized with respect to their states. It automatically maintains traceability links between requirements and related artifacts when a requirement is changed. This approach can not only efficiently handle basic and necessary traceability functions, but also centralize reactive behavior by using Active Database to ensure no one bypass traceability policies.Dept. of Computer Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .G42. Source: Masters Abstracts International, Volume: 44-03, page: 1401. Thesis (M.Sc.)--University of Windsor (Canada), 2005

An approach to impact analysis in software maintenance

Impact analysis is a software maintenance activity, which consists of determining the scope of a requested change, as a basis for planning and implementing it. After a change request has been specified (change understanding) and the initial part of the system to be changed has been identified (change localization), impact analysis helps to understand consequences of the change on other parts of the system. Induced changes, also named ripple effects, among software components are detected. Most existing approaches perform impact analysis for changes occurring at the code level. In this thesis, concepts developed to perform impact analysis at the code level are applied to trace changes occurring at the design level. The method consists of proposing an activity model addressing the different steps of impact analysis and a data model on which propagations of changes can be traced. The method is validated with a case study applied to a system from the aerospace field. The tools we developed on PCTE help for consistency checks in HOOD based designs during editing. Our data-model based on an Entity Relationship notation describes a way to model HOOD diagrams in PCTE and further on to propagate changes on the repository. Examples chosen address the design phase of a simple engine system. We show that addressing modifications at a higher level of abstraction than the code eases understanding and localization of changes. It also limits the propagation of ripple effects (i.e., unexpected behaviour of the system) by detecting secondary changes at an earlier stage

Knowledge Representation Concepts for Automated SLA Management

Outsourcing of complex IT infrastructure to IT service providers has increased substantially during the past years. IT service providers must be able to fulfil their service-quality commitments based upon predefined Service Level Agreements (SLAs) with the service customer. They need to manage, execute and maintain thousands of SLAs for different customers and different types of services, which needs new levels of flexibility and automation not available with the current technology. The complexity of contractual logic in SLAs requires new forms of knowledge representation to automatically draw inferences and execute contractual agreements. A logic-based approach provides several advantages including automated rule chaining allowing for compact knowledge representation as well as flexibility to adapt to rapidly changing business requirements. We suggest adequate logical formalisms for representation and enforcement of SLA rules and describe a proof-of-concept implementation. The article describes selected formalisms of the ContractLog KR and their adequacy for automated SLA management and presents results of experiments to demonstrate flexibility and scalability of the approach.Comment: Paschke, A. and Bichler, M.: Knowledge Representation Concepts for Automated SLA Management, Int. Journal of Decision Support Systems (DSS), submitted 19th March 200