Estimating software project effort using analogies

Accurate project effort prediction is an important goal for the software engineering community. To date most work has focused upon building algorithmic models of effort, for example COCOMO. These can be calibrated to local environments. We describe an alternative approach to estimation based upon the use of analogies. The underlying principle is to characterise projects in terms of features (for example, the number of interfaces, the development method or the size of the functional requirements document). Completed projects are stored and then the problem becomes one of finding the most similar projects to the one for which a prediction is required. Similarity is defined as Euclidean distance in n-dimensional space where n is the number of project features. Each dimension is standardised so all dimensions have equal weight. The known effort values of the nearest neighbours to the new project are then used as the basis for the prediction. The process is automated using a PC based tool known as ANGEL. The method is validated on nine different industrial datasets (a total of 275 projects) and in all cases analogy outperforms algorithmic models based upon stepwise regression. From this work we argue that estimation by analogy is a viable technique that, at the very least, can be used by project managers to complement current estimation techniques

Can open-source projects (re-) shape the SDN/NFV-driven telecommunication market?

Telecom network operators face rapidly changing business needs. Due to their dependence on long product cycles they lack the ability to quickly respond to changing user demands. To spur innovation and stay competitive, network operators are investigating technological solutions with a proven track record in other application domains such as open source software projects. Open source software enables parties to learn, use, or contribute to technology from which they were previously excluded. OSS has reshaped many application areas including the landscape of operating systems and consumer software. The paradigmshift in telecommunication systems towards Software-Defined Networking introduces possibilities to benefit from open source projects. Implementing the control part of networks in software enables speedier adaption and innovation, and less dependencies on legacy protocols or algorithms hard-coded in the control part of network devices. The recently proposed concept of Network Function Virtualization pushes the softwarization of telecommunication functionalities even further down to the data plane. Within the NFV paradigm, functionality which was previously reserved for dedicated hardware implementations can now be implemented in software and deployed on generic Commercial Off-The Shelf (COTS) hardware. This paper provides an overview of existing open source initiatives for SDN/NFV-based network architectures, involving infrastructure to orchestration-related functionality. It situates them in a business process context and identifies the pros and cons for the market in general, as well as for individual actors

Process Framework for Subscriber Management and Retention in Nigerian Telecommunication Industry

in the global telecommunication industry. Hence, a dominant approach for subscriber management and retention is churn control, since it is cheaper to retain an existing subscriber than acquiring a new one. Predictive modeling employs the use of data mining techniques to identify patterns and provide a result that a group of subscribers are likely to churn in the near future. However, the effectiveness of subscriber retention strategy in an organization can be further boosted if the reason for churn and the timing of churn can also be predicted. In this paper, we propose a data mining process framework that can be used to predict churn, determine when a subscriber is likely to churn, provides the reason why a subscriber may churn, and recommend appropriate intervention strategy for customer retention using a combination of statistical and machine learning techniques. This experiment is carried out using data from a major telecom operator in Nigeria

Extending IT infrastructures in the service sector organisations through enterprise resource planning – a telecom case study

Copyright @ 2012 ISEing.Service Sector Organisations (SSOs) have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. As a result, the authors exhibit that it is of great significance to investigate this area within SSOs. In so doing, this paper thus focuses on the ERP critical success factors from five different categories such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation. These factors are validated through an in-depth qualitative single case study based research. The findings from the literature and empirical demonstrate that most of the factors influencing the decision making process for ERP adoption and implementation are highly significant with exception to few that have either low or medium importance

An Exploration into Technological Capabilities among early stage Indian product based Telecom start-ups

New technology based start-ups play a very important role in developing the economy of a country. In India, telecom sector has seen unprecedented growth over the last decade and this has led to emergence of several telecom related start-ups. However, product based B2B start-ups are rare and existing ones have to undergo several challenges in commercializing. Surprisingly not much research work has been undertaken in identifying capabilities among early stage start-ups although the early phase represents a very crucial phase for product based firms and has been known to determine the success or failure for start-ups. Present study explores the technological capabilities that enable commercialization among such early stage start-ups by adopting a multiple case (four independent cases) based inductive methodology with Indian telecom start-ups as the context. We have identified architectural design, algorithmic implementation and product adaptation as components of technological capability of such start-ups. We further drill in to each of the sub-components of the technological capabilities to unearth their antecedents and peculiarities in telecom product company context. As a result we also present a classification scheme for studying the product architecture in the telecom context. We analyze and point out differences in technological capability among telecom start-ups vis-�-vis established firms in the sector .

Mass-Market Receiver for Static Positioning: Tests and Statistical Analyses

Nowadays, there are several low cost GPS receivers able to provide both pseudorange and carrier phase measurements in the L1band, that allow to have good realtime performances in outdoor condition. The present paper describes a set of dedicated tests in order to evaluate the positioning accuracy in static conditions. The quality of the pseudorange and the carrier phase measurements let hope for interesting results. The use of such kind of receiver could be extended to a large number of professional applications, like engineering fields: survey, georeferencing, monitoring, cadastral mapping and cadastral road. In this work, the receivers performance is verified considering a single frequency solution trying to fix the phase ambiguity, when possible. Different solutions are defined: code, float and fix solutions. In order to solve the phase ambiguities different methods are considered. Each test performed is statistically analyzed, highlighting the effects of different factors on precision and accurac