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Software defect prediction helps to optimize testing resources allocation by identifying defect-prone modules prior to testing. Most existing models build their prediction capability based on a set of historical data, presumably from the same or similar project settings as those under prediction. However, such historical data is not always available in(More)
Most software product line cost estimation models are calibrated only to local product line data rather than to a broad range of product lines. They also underestimate the return on investment for product lines by focusing only on development vs. life-cycle savings, and by applying writing-for-reuse surcharges to the entire product rather that to the(More)
COTS products affect development strategies and tactics, but not all CBS development efforts are equal. Based on our experiences with 20 large government and industry CBS projects assessed during our development of the COCOTS estimation model, and our hands-on experience with 52 small e-services CBS projects within USC's graduate level software engineering(More)
This paper discusses the compensation of the transmission delay in a networked state feedback control system (NCS), which possess a randomly varying transmission delay and uncertain process parameters. The compensation is implemented by using a buffer in the actuator node and a state estimator in the controller node. A Linear Matrix Inequality (LMI) based(More)
Effort distribution by phase or activity is an important but often overlooked aspect compared to other steps in the cost estimation process. Poor effort allocation is among the major root causes of rework due to insufficiently resourced early activities. This paper provides results of an empirical study on phase effort distribution data of 75 industry(More)
Design of a net-worked control system with random transmission delay and uncertain process parameters. Abstract: This paper discusses the compensation of the transmission delay in a networked control system (NCS) with a state feedback, which possesses a randomly varying transmission delay and uncertain process parameters. The compensation is implemented by(More)