Drafting Enterprise Models

Enterprise models are created to analyze, document, and communicate the state of an enterprise under multiple perspectives. In addition to being large and complex, the construction of these models presents several difficulties: firstly, they require information provided by sources that might be inaccurate, incomplete, or even obsolete; secondly, although they should be structured, it is not possible to completely define their metamodel a priori. To support this construction process, the usage of enterprise model drafts is proposed, which should have the capacity to conform to changing metamodels and should also support incomplete or imperfect information. Unfortunately, current frameworks and tools have limitations for supporting these two features. Therefore, a set of strategies for the construction of modeling environments that make it possible to properly handle drafts is also proposed. These strategies include the support of metamodel flexibility during the modeling process and an approach to model imperfect information.

The Importance of IT on Preventing Organizational Amnesia

The ratio of benefiting from company's own memory is one of the most important factors for a company's success. However, firms are not aware of their memory capacity or failure to protect. Therefore, the success of the company is delayed and or affected negatively. Because of organizations' natural tendency to forget, memory loss is evaluated as an inevitable consequence. Memory loss or organizational amnesia at the organizations is defined as restricting the ability to develop organizational learning or failure to create a value by using owned information of the company. Organizational amnesia in organizations shows itself in various forms such as repetitive losses of competencies and previously learned information because effectiveness decrease leads to repetition of the same mistakes. In this context, the aim of this chapter is to create an organization memory database known as a knowledge repository in order to minimize memory loss in the organization and to determine the information types which is being recorded in the database.

The Usage of R Programming in Finance and Banking Research

R has grown tremendously over the years in terms of number of users and capability with the development of hundreds of packages. In this chapter, the authors investigate the usage of R in finance and banking areas. They begin with a comparative analysis of R with other computing software like SAS and Python. Then they discuss the reasons for the growth of R's usage in financial sector. They end with a comparative evaluation of Python and R's strengths and weaknesses in a classroom. R is software designed to run statistical analyses and output graphics by user-input code. It can run on virtually any operating system and is open source. This makes the software highly appealing, as it is able to keep up with the demands of a growing number of varied business structures. Standard software has been SAS and Python; however, a growing number of jobs are posted looking for experience using R in the data analytics field.

Bayesian Localized Energy Optimized Sensor Distribution for Efficient Target Tracking

Many applications in wireless sensor networks perform localization of nodes over an extended period of time. Optimal selection algorithm poses new challenges to the overall transmission power levels for target detection, and thus, localized energy optimized sensor management strategies are necessary for improving the accuracy of target tracking. In this chapter, a proposal plan to develop a Bayesian localized energy optimized sensor distribution scheme for efficient target tracking in wireless sensor network is designed. The sensor node localization is done with Bayesian average, which estimates the sensor node's energy optimality. Then the sensor nodes are localized and distributed based on the Bayesian energy estimate for efficient target tracking. The sensor node distributional strategy improves the accuracy of identifying the targets to be tracked quickly. The performance is evaluated with parameters such as accuracy of target tracking, energy consumption rate, localized node density, and time for target tracking.

4SRS-SoaML Method for Deriving a Service-Oriented Architecture From Use Cases Within a SPEM Approach

The transformation of requirements specification into an architectural design has been a crucial endeavor for the information systems analysis and design community, with ever-new challenges to tackle. Despite the wide and diverse existing proposals, the lack of a common structure and use of different strategies makes it close to impossible to analyze or compare these approaches. Therefore, the use of model-based methods benefits from a detailed specification in order to support their analysis and evolution, also in comparison to other approaches. Following work on the derivation of a logical architecture from business-process use-cases requirements in a service-oriented approach, the authors propose a detailed specification, within a SPEM approach, of a transformation method, which they further analyze and refurbish in order to meet current and future challenges.

Business Process Re-Engineering

In today's business environment, business competition has increased due to market needs and advancement in technologies. This forces organizational managers and consultants to identify techniques that enable organizations to cope with an ever-changing business environment. In their efforts, many organizational performance improving techniques have been discovered. Among the techniques discovered, business process re-engineering is the technique reported to improve business processes for enhanced organizational performance. Therefore, this chapter explains what business process re-engineering is and presents modeling methods for business process re-engineering.

Quantitative Evaluation of the Accomplishment of Operational Plans of the Organization and Context-Free Grammar Operational Planning Language

The innovative and effective solutions for the strategic and operational planning management of organizations are discussed. The author reviews current and past challenges of the strategic and operational planning and describes two novel solutions with practical implementation for improving these processes. The first one is a numerical indicator V-index that represents the level of accomplishment of operational plans of the entire organization, its units, and members of staff. The V-index serves operational plans with hierarchical and non-hierarchical structures. The second solution is a novel context-free grammar operational planning language for a formal definition of the planning process. All examples and case-study presentation are based on fragments of the faculty/departments/programs of some fictional educational institution (university).

Enhanced Requirement Traceability Link Using Developer's Updated Activity

In the software development cycle, the requirement traceability link is one of the important factors. Information retrieval techniques typically produce links with low precision and/or recall because, due to their very nature, they depend on the textual similarity between requirements and source code. The developers may not evolve requirements in synchronization with source code. But, they frequently update other sources of information including CVS/SVN repositories, bug-tracking systems, mailing lists, forums, and blogs. These sources of information will be used to build improved requirement traceability-recovery approaches. After the source code was developed, the developer compiles the source code and commits the source code into versions. Then admin needs to compare the templates and versions based on similarity measurement. Based on textual comparison, the similarity is calculated. The admin can do the same process for the forum requirements.