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Customers and IT vendors must be in agreement regarding the process and result of project delivery estimation. However, IT vendors often have difficulty explaining the complexity and dynamic difficulty of project specification for customers, who do not have IT expertise. Moreover, customers may feel unsatisfied because they often receive unexpected project estimations from IT vendors without clarification...
In software project management, software effort estimation is an important task. Software effort estimation will be helpful for finding the estimation of cost, duration of the project. In the recent time, many types of model are coming but among all, COCOMO model is widely used model. In past lots of Research have been done for correct and Accurate Effort Estimation. Many Algorithm has been applying...
In software project management, software development effort estimation (SDEE) is one of the critical activities. Analogy-Based Estimation (ABE) is most popular estimation technique suggested in SDEE literature [1, 7, 22]. Researchers have proposed various methods to improve the accuracy of ABE by adjusting the retrieved solution. The research suggests all published calibration methods depend on linear...
The trade-off between performance and power consumptionfor dynamic and complex applications is inevitable andis considered as a key design challenge for system architects. Performance statistics for hard real time systems must be readilyavailable for a feedback system, specifically for reconfigurablearchitectures. The feedback in terms of performance statisticscan be useful for run-time reconfiguration...
Over the past decade, software has spread to most areas of our lives. This has led to increased demands on product quality and complexity. Industrial software which belong to a safety-critical area where high quality products are essential. Many processes and standards must be completed and met within stipulated deadlines. The complexity of the software and the boundary conditions of developing it...
Feature selection has been recently used in the area of software development effort estimation for improving the accuracy and robustness of prediction techniques. The idea behind selecting the most informative subset of features from a pool of available effort drivers stems from the hypothesis that reducing the dimensionality of datasets may significantly minimize the complexity and time required...
According to a recent report [1], in 2015 alone, the revenue generated from mobile applications is expected to reach $100 billion. This figure indicates that one cannot neglect the potential of mobile application development business. Yet, despite this huge potential there is no calibrated and validated model for estimating the effort required to develop a new mobile application. In this paper, we...
Missing Data (MD) is a widespread problem that can affect the ability to use data to construct effective software development effort prediction systems. This paper investigates the use of missing data (MD) techniques with Fuzzy Analogy. More specifically, this study analyze the predictive performance of this analogy-based technique when using toleration, deletion or k-nearest neighbors (KNN) imputation...
This study illustrates an estimation tool for software test that provides the estimated time and the cost of any sort of software test project. There are different well-recognized estimation tools for software development process [9], however, there remains a lack of standard tools for estimation of Software Test phase. Therefore, the authors developed a web base tool (www.4beats.net/tpet/) in order...
In this paper initial experiences are presented on implementing specific methodology of affective intervention design (AFFINT) for development of affect-aware educational video games. In the described experiment, 10 student teams are to develop affect-aware educational video games using AFFINT to formalize the whole process. Although all projects are still in progress, first observations and conclusions...
This is an on-going study that explores the potential benefits of using pedestrian data for evaluation and enhancement of public transportation. The research team proposes the utilization of Bluetooth (BT) and WiFi technologies to estimate time-dependent origin-destination (OD) demands and station wait-times of transit bus and subway users. The detection approach and a complete system design are discussed...
Software effort estimation influences almost all the process of software development such as: bidding, planning, and budgeting. Hence, delivering an accurate estimation in early stages of the software life cycle may be the key of success of any project. To this aim, many solo techniques have been proposed to predict the effort required to develop a software system. Nevertheless, none of them proved...
This paper deals with an online evaluation tool for application of electric vehicles for everyday utilization. The tool takes respect of the user defined range demands as well as the possible charging periods required due to the battery. In addition, customer parameters such as the load capacity and number of seats are taken into account. The tool is able to not only evaluate pure battery electric...
In order to cover the ever increasing demands for computational power, while meeting electrical power and budget constraints, HPC systems are continuing to increase in hardware and software complexity. As a direct consequence, this also leads to increased development efforts to parallelize, tune or port applications. For an informed decision on how to spend available budgets, we therefore need quantitative...
High-maturity software development processes can generate significant amounts of data that can be periodically analyzed to identify performance problems, determine their root causes and devise improvement actions. However, conducting that analysis manually is challenging because of the potentially large amount of data to analyze and the effort and expertise required. In this paper, we present ProcessPAIR,...
Recently, there has been the arise of latency-sensitive IoT applications, e.g., in the field of telemedicine or Industrial Internet. Such applications have stringent latency requirements. The entire end-to-end latency between two devices is composed of several individual latencies: the software latency of the application, the software latency in the networking stack, the hardware latency on wire,...
We present a dataflow based performance estimation and synthesis framework that will help hardware designers quantify the algorithm performance and synthesize their HW designs onto Field Programmable Gate Arrays (FPGAs). Typically, Digital Signal Processing (DSP) systems are designed by making gradual architectural choices in HW refinement steps. These decisions are based on performance quantification...
The integration of mathematical modelling, proof of correctness and statistical software quality assurance lead to extremely high-quality software. The integration was named as cleanroom software engineering. It proof the correctness of the deliverables of each phase, Instead of the classic analysis, design, code, test, and debug cycle, the cleanroom approach suggests a different point of view. Due...
This study aims to construct a scientific model in estimating effort and cost of software development projects. Use Case Points (UCP) is very important method to estimate the total effort in software development projects. While the technique of Activity-based Costing (ABC) serves as the calculation of costs in each of the activities, especially the allocation of project resources. ABC technique consists...
This paper briefly describes a left ventricle myocardium segmentation method in multi-slice computerized tomography images. The segmentation technique is based on level-sets deformable contours. The proposed method has two stages: in the first stage the left ventricle internal wall or endocardium is segmented. In the second stage the external wall is segmented starting with an initialization based...
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