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TO MEASURE THE IMPACTS ON FAULT INJECTION MODEL IN COMPONENT BASED SOFTWARE DEVELOPMENT

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): JYOTI SHARMA

Abstract: Component based software engineering (CBSE) is gaining substantial interest in the software engineering community. A lot of research efforts have been devoted to the reliability, fault tolerance and complexity of components in CBSE. Testing the software component is an important approach which guarantees and enhances the reliability of components and as the reliability factor is directly related to the complexity of the components in CBSE. So automatically the complexity of the software will get improved. Merely selection of less complex and reliable components is not sufficient but we have to select the optimal components for the software system including the factor of fault tolerance. This paper proposes a testing strategy for finding the complexity of components and also a modified approach of fault injection model is proposed.

  • Publication Date: 29-Aug-2015
  • DOI: 10.15224/978-1-63248-073-6-25
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ESTIMATING INTRINSIC PARAMETER OF CAMERA FROM A SINGLE IMAGE

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): MURALI SASTRY , GEETHA KIRAN A

Abstract: In this paper, an intrinsic parameter of camera from a single image is formulated. Compared to other techniques which use two or three orthogonal planes, parallelograms, rectangles, conic circles and balls, the proposed technique is easy to use and flexible. Calculation of the focal length using a single image is the main objective of this research work. A stick is employed as the calibration object to formulate the equations in order to compute the focal length. The arrangement of the calibration object to acquire the images adds more accuracy in computing the focal length of the camera. The length of the calibration object is the major cue in computing the focal length. A novel approach using polynomial regression is attempted in formulating the cubic polynomials based on the length of the calibration object. The results are tabulated and further used in formulating equation to compute the focal length of the camera. Experimental results are tabulated to show the accuracy of the prop

  • Publication Date: 29-Aug-2015
  • DOI: 10.15224/978-1-63248-073-6-76
  • Views: 0
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