Architecture-Driven Modernization

Author(s):  
Ricardo Pérez-Castillo ◽  
Ignacio García Rodríguez de Guzmán ◽  
Mario Piattini

Legacy information systems can be a serious headache for companies because, on the one hand, these systems cannot be thrown away since they store a lot of valuable business knowledge over time, and on the other hand, they cannot be maintained easily at an acceptable cost. For many years, reengineering has been a solution to this problem because it facilitates the reuse of the software artifacts and knowledge embedded in the system. However, reengineering often fails due to the fact that it carries out non-standardized and ad hoc processes. Currently, software modernization, and particularly ADM (Architecture-Driven Modernization), standardized by the OMG, is proving to be an important solution to that problem, since ADM advocates carrying out reengineering processes taking into account the principles and standards of model-driven development. This chapter provides an overview of ADM and shows how it allows legacy information systems to evolve, making them more agile, preserving the embedded business knowledge, and reducing maintenance costs. Also, this chapter presents the software archeology process using ADM and some ADM success stories.

2006 ◽  
Vol 35 (3) ◽  
Author(s):  
Bronius Paradauskas ◽  
Aurimas Laurikaitis

This article discusses the process of enterprise knowledge extraction from relational database and source code of legacy information systems. Problems of legacy systems and main solutions for them are briefly described here. The uses of data reverse engineering and program understanding techniques to automatically infer as much as possible the schema and semantics of a legacy information system is analyzed. Eight step data reverse engineering algorithm for knowledge extraction from legacy systems is provided. A hypothetical example of knowledge extraction from legacy information system is presented.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
J.A. Garcia-Garcia ◽  
C. Arevalo ◽  
A. Meidan ◽  
E. Morillo-Baro ◽  
M. J. Escalona

Author(s):  
Zhiying Tu ◽  
Gregory Zacharewicz ◽  
David Chen

This chapter aims at proposing an approach to implement a distributed Information System built on top of a federation of existing (reused) software components. This solution is taking as a core consideration the problem of interoperability of data exchanged between enterprises. The idea is to adapt and reuse experiences coming from the development of enterprises legacy Information Systems in order to create a HLA (High Level Architecture) based system of systems. In that perspective, this chapter proposes a new bi-directional development life cycle. MDA (Model Driven Architecture) and HLA FEDEP (Federation Development and Execution Process) are combined and harmonized to implement distributed Information Systems from enterprise models of existing system. Conversely, model reverse engineering techniques are used to help re-implement existing systems, in order to be interoperable without being fully reconstructed. Then, according to HLA 1516 evolved new features, this chapter proposes a solution based on an open source RTI, poRTIco, to implement Web enabled federates.


Author(s):  
Alexander Meisel

Until recently, the clinical management of cancer heavily relied on anatomical and histopathological criteria, with ad hoc guidelines directing the therapeutic choices in specific indications. In the last years, the development and therapeutic implementation of novel anticancer therapies significantly improved the clinical outcome of cancer patients. Nonetheless, such cutting-edge approaches revealed the limitation of the one-size-fits-all paradigm. The newly discovered molecular targets can be exploited either as bona fide targets for subsequent drug development, or as tools to precision medicine, in the form of prognostic and/or predictive biomarkers. This article provides an overview of some of the most recent advances in precision medicine in oncology, with a focus on novel tissue-agnostic anticancer therapies. The definition and implementation of biomarkers and companion diagnostics in clinical trials and clinical practice are also discussed, as well as the changing landscape in clinical trial design.


2020 ◽  
Vol 36 (S1) ◽  
pp. 37-37
Author(s):  
Americo Cicchetti ◽  
Rossella Di Bidino ◽  
Entela Xoxi ◽  
Irene Luccarini ◽  
Alessia Brigido

IntroductionDifferent value frameworks (VFs) have been proposed in order to translate available evidence on risk-benefit profiles of new treatments into Pricing & Reimbursement (P&R) decisions. However limited evidence is available on the impact of their implementation. It's relevant to distinguish among VFs proposed by scientific societies and providers, which usually are applicable to all treatments, and VFs elaborated by regulatory agencies and health technology assessment (HTA), which focused on specific therapeutic areas. Such heterogeneity in VFs has significant implications in terms of value dimension considered and criteria adopted to define or support a price decision.MethodsA literature research was conducted to identify already proposed or adopted VF for onco-hematology treatments. Both scientific and grey literature were investigated. Then, an ad hoc data collection was conducted for multiple myeloma; breast, prostate and urothelial cancer; and Non Small Cell Lung Cancer (NSCLC) therapies. Pharmaceutical products authorized by European Medicines Agency from January 2014 till December 2019 were identified. Primary sources of data were European Public Assessment Reports and P&R decision taken by the Italian Medicines Agency (AIFA) till September 2019.ResultsThe analysis allowed to define a taxonomy to distinguish categories of VF relevant to onco-hematological treatments. We identified the “real-world” VF that emerged given past P&R decisions taken at the Italian level. Data was collected both for clinical and economical outcomes/indicators, as well as decisions taken on innovativeness of therapies. Relevant differences emerge between the real world value framework and the one that should be applied given the normative framework of the Italian Health System.ConclusionsThe value framework that emerged from the analysis addressed issues of specific aspects of onco-hematological treatments which emerged during an ad hoc analysis conducted on treatment authorized in the last 5 years. The perspective adopted to elaborate the VF was the one of an HTA agency responsible for P&R decisions at a national level. Furthermore, comparing a real-world value framework with the one based on the general criteria defined by the national legislation, our analysis allowed identification of the most critical point of the current national P&R process in terms ofsustainability of current and future therapies as advance therapies and agnostic-tumor therapies.


Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 55
Author(s):  
Shan Zhang

By applying the concept of natural science to the study of music, on the one hand, we can understand the structure of music macroscopically, on the other, we can reflect on the history of music to a certain extent. Throughout the history of western music, from the classical period to the 20th century, music seems to have gone from order to disorder, but it is still orderly if analyzed carefully. Using the concept of complex information systems can give a good answer in the essence.


Automation ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 48-61
Author(s):  
Bhavyansh Mishra ◽  
Robert Griffin ◽  
Hakki Erhan Sevil

Visual simultaneous localization and mapping (VSLAM) is an essential technique used in areas such as robotics and augmented reality for pose estimation and 3D mapping. Research on VSLAM using both monocular and stereo cameras has grown significantly over the last two decades. There is, therefore, a need for emphasis on a comprehensive review of the evolving architecture of such algorithms in the literature. Although VSLAM algorithm pipelines share similar mathematical backbones, their implementations are individualized and the ad hoc nature of the interfacing between different modules of VSLAM pipelines complicates code reuseability and maintenance. This paper presents a software model for core components of VSLAM implementations and interfaces that govern data flow between them while also attempting to preserve the elements that offer performance improvements over the evolution of VSLAM architectures. The framework presented in this paper employs principles from model-driven engineering (MDE), which are used extensively in the development of large and complicated software systems. The presented VSLAM framework will assist researchers in improving the performance of individual modules of VSLAM while not having to spend time on system integration of those modules into VSLAM pipelines.


Author(s):  
Juan P. Martínez ◽  
Inmaculada Méndez ◽  
Esther Secanilla ◽  
Ana Benavente ◽  
Julia García Sevilla

Starting from previous studies in professional caregivers of people with dementia and other diseases in institutionalized centers of different regions, the aim of this study was to compare burnout levels that workers present depending on the center, to create a caregiver profile with high professional accomplishment and to describe the quality of life that residents perceive Murcia and Barcelona. The instruments used were the Maslach Burnout Inventory (MBI), the Professional Caregiver Survey developed ad hoc and the Brief Questionnaire of Quality of Life (CUBRECAVI in Spanish) on residents. The results show, on the one hand, that levels of professional accomplishment may be paradoxically higher in the case of catastrophe and, on the other hand, the 98.2% of users are satisfied with the residence in which is located and 81.8% with the manner in which occupy the time. The conclusions that are extrapolated from the study shed light on the current situation of workers and residents and the influence that an earthquake can have on them.


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