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Use case analysis has been widely adopted in modern software engineering due to its strength in capturing the functional requirements of a system. It is often done with a UML use case model that formalizes the interactions between actors and a system in the requirements elicitation iteration, and with architectural alternatives explored and user interface details specified in the following analysis...
Software Estimation is an important part of every Software Engineers’ skill set.At Stevens Institute of Technology, we have taught Estimation as part of our Software Engineering Masters Program since 2001.Over the past few years, we have evolved our teaching style to be more experiential and engaging. This case study describes an evolving software engineering pedagogical method using LEGOs, which...
Software features and costs are often unquantifiable due to the abstract nature of software. In many cases, this results in the estimated costs of software development projects to be potentially highly biased, highly inaccurate, or highly unjustified. Hence, current software estimation methodologies can open up areas for corruption as estimated budgets and costs are difficult to verify and validate...
Software effort prediction is an important task in the software development life cycle. Many models including regression models, machine learning models, algorithmic models, expert judgment and estimation by analogy have been widely used to estimate software effort and cost. In this work, a Tree boost (Stochastic Gradient Boosting) model is put forward to predict software effort based on the Use Case...
Function Points (FP) are widely used as a basis to estimate software development cost and efforts. At the requirements level several estimation tools have been developed, but these tools use unified modeling language (UML) diagram. However, not all requirements documents include supplementary UML diagram. This paper describes the development of an automated tool to estimate size of software projects...
Creating accurate models of information systems is an important but challenging task. While the scientific aspects of such modeling are generally acknowledged, the monetary aspects of the modeling of software systems are not. The present paper describes a Bayesian method for optimizing modeling strategies, perceived as a trade-off between these two aspects. Specifically, an informed trade-off can...
For several decades, the output from semiconductor manufacturers has been high volume products with process optimisation being continued throughout the lifetime of the product to ensure a satisfactory yield. However, product lifetimes are continually shrinking to keep pace with market demands. Furthermore there is an increase in dasiafoundrypsila business where product volumes are low; consequently...
The challenges of deriving early-adopter competitive advantage, even with fabless access to process technology, through leveraging features offered by the advanced, and possibly disruptive, process technologies in real SoC products, are outlined. A structured methodology for addressing these challenges, and bridging the gap between process and design, sufficiently early in the development cycle to...
A method for the segmentation of synthetic aperture radar (SAR) image is presented in this paper. The method integrates the use of multi-scale technology, mixed-model information and support vector machines (SVM). First, the multi-scale autoregressive (MAR) model is modeled for multi-scale sequence of SAR image, and a multi-scale features, which is used as input of SVM, are extracted via the MAR model...
The size of unified modeling language (UML) models used in practice is very large and ranges up to hundreds and thousands of classes. Querying of these models is used to support their quality assessment by information filtering and aggregating. For both, human cognition and automated analysis, there is a need for fast querying. In this context performance of model queries becomes an important issue...
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