Tirimula Rao Benala

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One of the key features for the failure of project estimation techniques is the selection of inappropriate estimation models. Further, noisy data poses a challenge to build accurate estimation models. Therefore, the software cost estimation (SCE) is a challenging problem that has attracted many researchers over the past few decades. In the recent times,the(More)
In this Modern era, image transmission and processing plays a major role. It would not be possible to retrieve information from satellite and medical images without the help of Image processing techniques. Image edge Enhancement is the art of examining images for identifying objects and judging their significance. The proposed work uses the concept of(More)
Software engineering cost models and estimation techniques are used for number of purposes. These include budgeting, tradeoff and risk analysis, project planning and control, software improvement and investment analysis. The proposed work uses neural network based estimation, which is essentially a machine learning approach, is one of the most popular(More)
Software cost estimation continues to be an area of concern for managing of software development industry. We use unsupervised learning (e.g., clustering algorithms) combined with functional link artificial neural networks for software effort prediction. The unsupervised learning (clustering) indigenously divide the input space into the required number of(More)
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