Browsing by Author "Raghurama, G."

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    Software quality factor evaluation using Fuzzy multi-criteria approach
    (IICAI, 2009) Singh, Ajit Pratap; Raghurama, G.
    An innovative software development for any decision making process is very important and challenging particularly when large software projects are analyzed. It becomes even more sophisticated while dealing with uncertainty and vagueness involved in such development process. The present paper proposes a fuzzy multi-criteria decision-making approach to deal with the uncertainty and vagueness involved due to subjective perception and experience of decision makers involved in the process of software development. As developing high-quality software within the allotted time and budget is a key element for a productive and successful software project, the quality factors are evaluated separately in this study using fuzzy multi-criteria decision approach and the estimates are combined to obtain the preference degree of each software development project giving alternatives to select the most appropriate one
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    Software Testing Effort: An Assessment Through Fuzzy Criteria Approach
    (World Academic Union, 2011) Singh, Ajit Pratap; Raghurama, G.
    Software Testing is an important process of software development which is performed to support and enhance reliability and quality of the software. It consists of estimating testing effort, selecting suitable test team, designing test cases, executing the software with those test cases and examining the results produced by those executions. Studies indicate that 40-50 percent of the cost of software development is devoted to testing, with the percentage for testing critical software being even higher. This paper makes an attempt to estimate reliable software testing effort using fuzzy logic. The paper deals with the features of the Software Testing Effort (STE) estimation problem by proposing a novel Fuzzy model by integrating COCOMO, fuzzy logic and weighing techniques, Test Effort Drivers (TEDs) into a single platform. In this model triangular membership functions with monotonic constraints have been chosen, which finally achieve good generalization. The proposed model is finally validated with a case study of an Organization. Another feature of the present model is that it allows for continuous rating values and therefore avoids the problem of similar projects having large variances in cost estimations.