Key procurement challenges include the definition of value and the identification of Value for Money principles. In the case of software development, the failure of contemporary systems of costing and project management to create reliable, replicable cost estimation that links to the requirements of project planners and managers represents a significant deficiency in procurement theory and prac...

This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware Effort Estimate Model (EEEM). This model uses special designed storyboard to delineate the e-Learning courseware's contents and define the measurement metrics. Research was conducted using statistical data from the real worl...

Jerry Smith is the Chief Technical Officer (CTO) of a global consulting and training company that specializes in object-oriented technology. He has specialized in software development, objectoriented technology, and management for over 15 years. He is the principle scientist for a long-term, multiproject research effort focusing on the best-practice techniques used to transfer and retain inform...

We present an assessment of an empirical study aiming at building effort estimation models for corrective maintenance projects. We show results from the application of the prediction models to a new corrective maintenance project within the same enterprise and the same type of software systems used in a previous study. The data available for the new project are finer grained according to the in...

This paper investigates proposed code-based measures for multimedia courseware as part of an on-going program of research into effort estimation models. The proposed code-based size measures are analysed using source code and project data from WinlEcon courseware written in the ToolBook authoring language. Statistical analysis of a priori, ToolBook specific and portable subsets of 47 code measu...

This paper aims to provide the software estimation research community with a better understanding of the meaning of, and relationship between, two statistics that are often used to assess the accuracy of predictive models: the mean magnitude relative error, MMRE, and the number of predictions within 25% of the actuals, pred(25). We demonstrate that MMRE and pred(25) are, respectively, measures ...

Business Process management Systems (BPMS) are highly integrated in the IT of organizations. They are at the core of business. Thus, migrating from one BPMS solution to another is not a common task. However, there are forces that are pushing organizations to do this step, e.g. maintenance costs of legacy BPMS or needed additional functionality. Beforehand, risk and effort must be evaluated. Thi...

In this paper, we present the main goals, questions and hypotheses of our research related to test execution effort estimation. Here, we introduce a model that we developed for estimating test execution effort based on the test characteristics and risk factors. In addition, we presented the planning of empirical studies for this model. These studies have the objective of configuring, calibratin...

The object-oriented modeling has been largely adopted in industry in the last years. Several systems built 4 or 5 years ago may need an adaptive maintenance process in order to better satisfy market and customer needs. In this paper1, a model for effort estimation/prediction of the adaptive maintenance is presented. A selection of metrics for effort estimation has been applied to the general mo...