The management of IT carve-out projects is very challenging due to the strict time frame, the severe contractual penalties, the huge number of stakeholders and the various as well as unique IT tasks that have to be conducted. Up to now, there is no instrument for evaluating the readiness of the IT for a carve-out and also not for managing such a project. In order to address this, we develop a m...

Any public administration that produces translation data can be a provider of useful reusable data to meet its own translation needs and the ones of other public organizations and private companies that work with texts of the same domain. These data can also be crucial to produce domain-tuned Machine Translation systems. The organization's management of the translation process, the characterist...

xi

The recent release of CMMI V1.3 incorporates a number of changes to the model and framework; one of the more interesting is the decision to do away with Capability Levels 4 and 5 in the Continuous Representation, while retaining the high levels of Organizational Maturity. This paper examines some of the issues that may have driven this decision, and explores the opportunity provided for greater...

This paper is based on the application of the People Capability Maturity Model (CMM) to the Foundation Bruno Kessler (FBK), a research centre located in Trento (Italy). People CMM is a framework to study the level of maturity of an organization in order to improve workforce's development and to help management to define people's capabilities in the organization. The project is an ongoing projec...

This chapter presents the Capability Maturity Model Fast-track Toolkit (CMMFT) programme which aims to provide a faster and cheaper method of obtaining Capability Maturity Model Integration (CMMI) capability with the end goals of increasing quality of software products and gaining competitive advantage as software development practices are recognised internationally. The programme is specifical...

— This study suggests a new prediction model for chaotic time series inspired by the brain emotional learning of mammals. We describe the structure and function of this model, which is referred to as BELPM (Brain Emotional Learning-Based Prediction Model). Structurally, the model mimics the connection between the regions of the limbic system, and functionally it uses weighted k nearest neighbor...

– Long range prediction capability for fading channels would provide enabling technology for accurate power control, reliable transmitter and/or receiver diversity, more effective adaptive modulation and coding and improvements in many other components of wireless systems. In order to achieve accurate long range prediction, the authors recently introduced a novel algorithm that finds the linear...

In this paper, a novel method to predict protein secondary structure (e.g., helix, beta-sheet and coil) is described. Our method predicts the secondary structure for a query sequence using a segment-wise similarity search, which finds the most probable secondary structure based on similarities between a set of sequence segments of a query sequence and our segment databases: the segment sequence...