In statistical shape analysis, the establishment of correspondence and defining shape representation are crucial steps for hypothesis testing to detect and explain local dissimilarities between two groups of objects. Most commonly used shape representations are based on object properties that are either extrinsic or noninvariant to rigid transformation. Shape analysis based on noninvariant properties is biased because the act of alignment is necessary, and shape analysis based on extrinsic properties could be misleading. Besides, a mathematical explanation of the type of dissimilarity, e.g., bending, twisting, stretching, etc., is desirable. This work proposes a novel hierarchical shape representation based on invariant and intrinsic properties to detect and explain locational dissimilarities by using local coordinate systems. The proposed shape representation is also superior for shape deformation and simulation. The power of the method is demonstrated on the hypothesis testing of simulated data as well as the left hippocampi of patients with Parkinson's disease and controls.

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Abstract-With the advancement in technology, software development complexities are rising across the globe. This trend is forcing companies and organizations to adopt management methods and tools to accelerate time to market, more easily manage changing priorities, increase the customer satisfaction and reduce product expenses. Agile software development methods offer a solution to these issues, but problems remain over evaluation along with the offering of the correct agile software as well as a collection of agile tools. The purpose of this paper is to introduce best tools and features, criteria used for evaluating currently existing tools and propose a classification model to right agile tool selection. To prepare a list of the best tools and their features in the market, a practical research on existing tools and their features were performed. Finally, a classification model was prepared and the results show which tools best fit into different level of maturity in projects and companies.

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He is a computer scientist and a business strategist with over 10 years of experience in academia and industry. His research interests span the fields of Computing Education, Software Engineering Management, Data Analysis, Robotics, and Artificial Intelligence. He has published more than 30 papers at numerous journals and conferences in robotics, software engineering, and computer science education. He has garnered multiple international awards in innovation including the third place in Robocup world competition.