Software cost estimation is an important phase in software development. It predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and an accurate estimate provides a strong base to the development procedure. There are many cost estimation models for the estimation of the software. COCOMO model is the basic model. In this pape...

In this paper, we discuss the implications of financing constraints for future energy and climate scenarios. Aspirations to improve energy access and electrification rates in developing countries, while simultaneously reducing greenhouse gas emissions, can be seriously hindered by the availability of low-cost capital for the necessary investments. We first provide a brief description of the the...

This paper summarizes several classes of software cost estimation models and techniques: parametric models, expertise-based techniques, learning-oriented techniques, dynamics-based models, regression-based models, and composite-Bayesian techniques for integrating expertisebased and regression-based models. Experience to date indicates that neural-net and dynamics-based techniques are less matur...

Expert judgment for software effort estimation is oriented toward direct evidences that refer to actual effort of similar projects or activities through experts’ experiences. However, the availability of direct evidences implies the requirement of suitable experts together with past data. The circumstantial-evidence-based judgment proposed in this paper focuses on the development experiences de...

Many cost estimation models have been proposed over the last three decades. In this study, we investigate fuzzy ID3 decision tree as a method for software effort estimation. Fuzzy ID software effort estimation model is designed by incorporating the principles of ID3 decision tree and the concepts of the fuzzy settheoretic; permitting the model to handle uncertain and imprecise data when present...

Although there is broad agreement on the sorts of things to take into account when measuring functional size, there is a variety of opinion about how to do it. This is partly because several different views of functionality are addressed in functional size measurement. Some are better understood than others. In particular, the “general systems characteristics” (GSC’s) and “value adjustment fact...

Despite the predictive performance of AnalogyBased Estimation (ABE) in generating better effort estimates, there is no consensus on: (1) how to predetermine the appropriate number of analogies, (2) which adjustment technique produces better estimates. Yet, there is no prior works attempted to optimize both number of analogies and feature distance weights for each test project. Perhaps rather th...

This chapter deals with some technical aspects of the strategies for IT Governance described in most of the other chapters of this book. The practical application of IT Governance techniques and tactics requires the collection and analysis of measurable data that guide estimation, decision-making and assessment, since it is common sense that one can control and manage better what one is able to...

This paper examines how a team of software professionals goes about estimating the effort of a software project using a judgment-based, bottom-up estimation approach. By employing a social practice perspective that highlights the distributed character of expertise and conceives actions as mediated by cultural tools, the paper analyzes the interactional process through which the estimation tasks...

It is well documented that the software industry suffers from frequent cost overruns. A contributing factor is, we believe, the imprecise estimation terminology in use. A lack of clarity and precision in the use of estimation terms reduces the interpretability of estimation accuracy results, makes the communication of estimates difficult, and lowers the learning possibilities. This paper report...