Testing Guidelines for Developing Quality EAI Projects

Author(s):  
S.R. Balasundaram ◽  
B. Ramadoss

The rapidly changing nature of business environments requires organizations to be more flexible to gain competitive advantages. Organizations are turning into a new generation of software called Enterprise Application Integration (EAI) to fully integrate business processes. It is an activity that integrates and harmonizes an enterprise’s isolated business applications, processes and functions involving real time data. Developing quality EAI projects is quite a big challenge. Even though success of EAI projects depends on so many parameters, ‘testing’ is the most significant phase that can ensure the quality as well as the success of EAI projects. Components integrated without testing in EAI systems may affect the enterprise system as a whole. This chapter focuses on the testing aspects related to EAI applications. Especially the significance of testing for various types of “Integrations” is discussed in detail.

2011 ◽  
pp. 279-291
Author(s):  
S.R. Balasundaram ◽  
B. Ramadoss

The rapidly changing nature of business environments requires organizations to be more flexible to gain competitive advantages. Organizations are turning into a new generation of software called Enterprise Application Integration (EAI) to fully integrate business processes. It is an activity that integrates and harmonizes an enterprise’s isolated business applications, processes and functions involving real time data. Developing quality EAI projects is quite a big challenge. Even though success of EAI projects depends on so many parameters, ‘testing’ is the most significant phase that can ensure the quality as well as the success of EAI projects. Components integrated without testing in EAI systems may affect the enterprise system as a whole. This chapter focuses on the testing aspects related to EAI applications. Especially the significance of testing for various types of “Integrations” is discussed in detail.


2010 ◽  
pp. 628-643
Author(s):  
Spiros Alexakis ◽  
Markus Bauer ◽  
András Balogh ◽  
Akos Kiss

The research project FUSION aims at supporting collaboration and interconnection between enterprises with technologies that allow for the semantic fusion of heterogeneous service-oriented business applications. The resulting FUSION approach is an enterprise application integration (EAI) conceptual framework proposing a system architecture that supports the composition of business processes using semantically annotated Web services as building blocks. The approach has been validated in the frame of three collaborative commercial proof-of-concept pilots. The chapter provides an overview on the FUSION approach and summarises our integration experiences with the application of the FUSION approach and tools during the implementation of transnational career and human resource management services.


Author(s):  
Spiros Alexakis ◽  
Markus Bauer ◽  
András Balogh ◽  
Akos Kiss

The research project FUSION aims at supporting collaboration and interconnection between enterprises with technologies that allow for the semantic fusion of heterogeneous service-oriented business applications. The resulting FUSION approach is an enterprise application integration (EAI) conceptual framework proposing a system architecture that supports the composition of business processes using semantically annotated Web services as building blocks. The approach has been validated in the frame of three collaborative commercial proof-of-concept pilots. The chapter provides an overview on the FUSION approach and summarises our integration experiences with the application of the FUSION approach and tools during the implementation of transnational career and human resource management services.


2021 ◽  
Author(s):  
Afdzal Hizamal Abu Bakar ◽  
Muhamad Nasri Jamaluddin ◽  
Rizwan Musa ◽  
Roberto Fuenmayor ◽  
Rajesh Trivedi ◽  
...  

Abstract PETRONAS Upstream is cognizant of the need to provide a unified digital production platform to the entire upstream community. The digital platform enables the community to perform analytical, collaborative monitoring & surveillance, and optimization to sustain production and improve our operations. Digital Fields (DF) is a modern digital platform, integrating data and analytical services, that provides smarter insights and shed light on potential insights that contribute to better-informed decision-making and improves the way of working. A big data ecosystem and strong infrastructure is the foundation of this digital platform, allied to existing business processes, it allows frictionless secure flow of data, high performance, scalability to support business operations. Digital Fields platform provides the following features: Scalable to all PETRONAS fields operated in Malaysia as well as International assets Solution architecture that allows fast implementation of new solutions and insights A common company-wide platform with the same familiar user interface and user experience The critical aspect to liven up a digital production platform is to identify first the available data sources. Some fields have the luxury of transmitters and sensors installed at the well head, topside facilities and export pipelines where the data can be easily retrieved from the SCADA system for data acquisition. Some other fields with less real-time data luxury would keep their operational data inside some operational reporting documents. A smart report ingestion solution was developed with the means to transform unstructured data from the operational reports, which empowers the users with multiple options for data upload and consumption while ensuring a single, traceable and auditable source of truth. Digital Fields leverages the combination of Daily Operation Reports (DOR), data with different frequency, such as real-time data, with engineering models changing the way the users consume data and provides proactive actionable insights to accelerate tangible values for the business organization. The solution establishes the foundational digital capabilities for field operations and speeds up data-driven value opportunities from operational data and analytics at scale.


Author(s):  
M. Antonia Martínez-Carreras ◽  
Francisco J. García-Jiménez ◽  
Antonio F. Gómez-Skarmeta

Lately, the building of Enterprise Application Integration (EAI) where different legacy-applications may interoperate between them has gained the focus of business research. In this sense, the Service Oriented Architecture (SOA), and particularly the utilization of Web services standards, has attracted the attention of several researchers and practitioners for implementing the needs of EAI. More concretely, the emergence of Enterprise Service Bus (ESB) has brought a layer for favouring the mediation, transformation, and thus, the communication between these diverse applications, services, or business processes in a decoupled way. Indeed, the ESB technology integrates a wide range of current technologies and business standards. The aim of this chapter is to offer the design and necessities of Future Business Environments comparing how open ESBs fulfils these requirements. Furthermore, this chapter compares six of the most well-known open ESBs considering the characteristics provided in the design of Future Business Environments.


2004 ◽  
Vol 18 (2) ◽  
pp. 61-73 ◽  
Author(s):  
Guido L. Geerts ◽  
Clinton E. White

XML (eXtensible Markup Language) is an emerging technology that is extensively used in enterprise application integration and e-business collaborations. This paper presents an integrated case, SportsStuff.com (SSC), that exposes students to “native” XML technologies (those technologies that are based on the XML specification) and illustrates how they can support innovative e-business applications. First, the case introduces three native XML technologies that facilitate data exchange between networked applications: XML documents, XML Schema, and XSLT. Second, the case explores the uses of these technologies in an e-business collaboration scenario.


2021 ◽  
Vol 15 (02) ◽  
pp. 25-31
Author(s):  
Karim Haricha ◽  
Azeddine Khiat ◽  
Yassine Issaoui ◽  
Ayoub Bahnasse ◽  
Hassan Ouajji

Production activities is generating a large amount of data in different types (i.e., text, images), that is not well exploited. This data can be translated easily to knowledge that can help to predict all the risks that can impact the business, solve problems, promote efficiency of the manufacture to the maximum, make the production more flexible and improving the quality of making smart decisions, however, implementing the Smart Manufacturing(SM) concept provides this opportunity supported by the new generation of the technologies. Internet Of Things (IoT) for more connectivity and getting data in real time, Big Data to store the huge volume of data and Deep Learning algorithms(DL) to learn from the historical and real time data to generate knowledge, that can be used, predict all the risks, problem solving, and better decision-making. In this paper, we will introduce SM and the main technologies to success the implementation, the benefits, and the challenges.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER

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