The present disclosure discloses system and method for evaluating a human resource in a software development environment. At first, historical performance data and profile data associated with a plurality of human resources involved in a software project is received. From such data (historical performance data and profile data), a plurality of attributes is extracted. Further, Bayesian classification technique is implemented on the plurality of attributes in order to classify the plurality of attributes, of each human resource, into a plurality of classes. The plurality of attributes is classified in such a manner that at least one attribute corresponding to at least one human resource and at least one other human resource is classified into a class and another class respectively. Further, based on the classification of each attribute associated with the human resource, a grade is assigned to the human resource.
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