This paper summarizes about metrics and economics for defect and detection techniques for measuring the software cost. In general the existing metrics can estimate cost of the software not effectively using Design, code, and most recently, requirements metrics have been successfully used for predicting fault-prone modules. Here in this paper by using software quality perspectives like CoSQ and ...

In this paper, we study a special class of generalized Douglas-Weyl metrics whose Douglas curvature is constant along any Finslerian geodesic. We prove that for every Landsberg metric in this class of Finsler metrics, ? = 0 if and only if H = 0. Then we show that every Finsler metric of non-zero isotropic flag curvature in this class of metrics is a Riemannian if and only if ? = 0.

The article discusses an application of code metrics at objectoriented software design. Code metrics give an additional method to avoid errors except the obvious ones like thorough requirements, design, programming, testing, and consumer’s feedback. Software metrics try to collect values and measurements from the software and predict possible current or future problems. This paper includes the ...

Component based software engineering (CBSE) is based on the concept of reusability. CBSE is upcoming paradigm where emphasis is laid on reuse of existing component and rebuilds a new component. Software metrics are used to check the complexity of software. Many software metrics have been proposed for CBS to measure various attributes like complexity, cohesion, coupling etc. Many different cohes...

Key factors that a hospital finance leader should focus on when considering a potential co-management agreement with physicians, in which the physicians are compensated at fair market value, include: Fee structure of the agreement. The quality metrics that will be used. Benchmarking to set appropriate targets for metrics. Historical performance against the metrics. Legal guidelines regarding su...

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The field of Information Retrieval has a long-standing tradition of rigorous evaluation, and an expectation that proposals for new mechanisms and techniques will either be evaluated in batch-mode experiments against realistic test collections, with results reported derived from standard tools; or will be evaluated through the use of user studies. This emphasis on evidence, and the desire for ve...

In order to learn from naive instructors, machines must learn more like how humans learn. We are organizing a “Bootstrapped Learning Cup” competition, in which competitors attempt to create the best learning agent for a curriculum whose focus is known but whose specifics are not. By focusing each competition on a particular factoring of the larger problem of human-like learning, we hope to simu...