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Effort estimation often requires generalizing from a small number of historical projects. Generalization from such limited experience is an inherently underconstrained problem. Hence, the learned effort models can exhibit large deviations that prevent standard statistical methods (e.g., t-tests) from distinguishing the performance of alternative(More)
Good software cost models can significantly help software project managers. With good models, project stakeholders can make informed decisions about how to manage resources, how to control and plan the project, or how to deliver the project on time, on schedule, and on budget. Real-world data sets, such as those coming from software engineering projects,(More)
COCONUT calibrates effort estimation models using an ex-haustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effort estimation method yet yields PRED levels com-parable to those other methods. Also, it does so with less project data and fewer attributes (no scale factors). How-ever, a(More)
Cost estimation is important in software development for controlling and planning software risks and schedule. Good estimation models, such as COCOMO, can avoid insufficient resources being allocated to a project. In this study, we find that COCOMO's estimates can be improved via WRAPPER- a feature subset selection method developed by the data mining(More)
A new all optical method for long term and continuous blood pressure measurement and monitoring without using cuffs is proposed by using Ballistocardiography (BCG) and Photoplethysmograph (PPG). Based on BCG signal and PPG signal, a time delay between these two signals is obtained to calculate both systolic blood pressure and diastolic blood pressure via(More)
To observe the influence of P-doped activated carbon (AC) in air-cathode microbial fuel cells (MFCs), AC was treated with H3PO4 (1M) at 80°C and 400°C respectively, and then was used as catalyst layer in the air-cathode. The maximum power densities were: 1096±33mW/m(2) (SP2, AC treated at 400°C), 954±36mW/m(2) (SP1, AC treated at 80°C), which were 55%, 35%(More)
Venous thromboembolism (VTE) is a common complication after total hip arthroplasty (THA) or total knee arthroplasty (TKA) and may be the cause for a secondary PE and associated morbidity/mortality. We performed a systematic literature review of risk factors and risk reduction of VTE after THA or TKA. A systematic search of PubMed database, the Cochrane(More)
Delta estimation uses changes to old projects to estimate new projects. Delta estimation assumes that new costs can be extrapolated from old projects. In this study, we show that in certain real-world data sets. there exists attributes where this assumption does not hold. We define here an automatic method to find which attributes can be safely used for(More)