Lorena Baigorria

Metrics applied to Aspect Oriented Design using UML profiles

The aspect oriented design (AOD) surges from the continuous search of improving the software systems development. The AOD is a methodology that emerges from the aspect oriented programming (AOP), which intents to improve the concerns of the components in software programming; this methodology is based on existing technologies like object oriented (OO). Calculate the resources, is an activity that can improve the software development, because of this there are a big amount of investigation made on metrics. There is a great quantity of works about metrics applied to OO design but a few about metrics applied to AOD. Softwares metrics are ways of qualify the software designs. The application of metrics is essential to qualify the effectiveness of AOD. AOD is a methodology based OO therefore we can applied some metrics traditionally for OO design. This paper shows the definition of the C&K metrics applied to AOD using UML profiles.

A technique based on the OMG metamodel and OCL for the definition of object-oriented metrics applied to UML models

Summary form only given. The development of wide software systems is an activity that consumes great quantities of time and resources. Even with the increase of the automation in the software development activities, the resources stay scarce. As a consequence of this, there is a big interest in the metrics of software due to its potential for a better, more efficient use of the resources. Tools help and assist in the planning and in the estimation of the complexity of the applications to develop during different stage of a process. We describe a technique to define metrics using the OMG (Object Management Group) standard specification. The semantic in each metrics is specified formally with OCL (Object Constraint Language) based on OMG metamodels. For their concrete specification, we establish a series of steps that allows define uniformly each metric in the different RUP models. Furthermore, the present paper shows the use of metrics defined using this technique and the relation between data obtained from the application of the metrics to thirteen object oriented systems. They encompass projects from the capture of requirements until its implementation, showing the metrics applied in different stage of the deployment.

Workflow Models: Management and Quality of Process in the Cloud

It is important to implement a continuous improvement when analyzing the life cycle of Business Process (BP). As a result, organizations are searching for tools like Business Process Management (BPM) using Business Process Management System (BPMS). The Workflow Management System (WfMS) is the most significant BPMS that is used to automatically improve the business process. Organizations require virtual business process on the Internet through cloud computing. WfMS provides computational support to define, synchronize and execute activities using workflows. There are many desirable operational aspects to implement workflow technology, such as task sequence, control and monitoring mechanisms. Workflow allows automation of different aspects of the information flow, for example: address the work in the correct sequence, provide data and document access, and manage the executable condition of the process. Thus Internet conceptual model in the cloud becomes workflow technology by transforming: a) actions into activities or sub process, b) information into data between activities, and c) actors in agents. Another fundamental aspect in a workflow process is measuring the most relevant elements, and detecting process areas that can be improved. Under these considerations, we proposed a framework to analyze and measure workflow process. This framework helps to improve and keep the maintenance of models and processes. All executing business process has an underlying workflow, and given the increasing work in the cloud, we applied this framework for evaluating workflow processes in the cloud. The framework helps to evaluate, compare and improve the workflow and, as a result, leads to the improvement of the processes.

A strategy based on LSP for the evaluation of specific languages for business processes modeling

The business process modeling presents a global vision of an organization. This characteristic allows for a better understanding of: the dynamics of the company, and the relationships that are given inside it and with its environment. Therefore, it is the best technique to align the development with the organizations goals. In this context, the role of modeling languages in the Business Processes specification is fundamental. Choosing the most appropriate language for specifying the company processes is an important and critical decision. This is because the models help to improve its performance and evolution avoiding many risk factors. In this paper, an evaluation strategy of business process modeling languages based in LSP is proposed. The main goal is to provide companies with a framework for the selection of the best business process modeling languages.

Metrics and performance indicators to evaluate workflow processes on the cloud

Organizations tend to virtualize their business on the cloud due to information globalization. From business process complexity perspective, one of the technologies which most significantly support this automation is Workflow Management Systems. They support definition, synchronization and execution of business process activities. Having a tool to measure the quality of these systems on the cloud is essential. Thus, we propose a framework for evaluating and measuring this workflow process which helps to improve and maintain the models and processes they represent. Within this framework, a set of metric is applied to individually measure each relevant aspect of the models. The structural complexity of the global process and the models they represent is also measured. Each execution of a business process has a subjacent workflow which increments the work on the cloud thus, we applied our framework to evaluate workflow process on the cloud.