An Evaluation of Effectiveness of the Software Projects Developed Through Six Sigma Methodology

Abstract

SYNOPTIC ABSTRACTContinuous improvement rules such as Six Sigma enable companies to improve customer satisfaction and loyalty in an increasingly competitive environment to meet customers’ expectations. The success of Six Sigma execution can be computed by evaluating the effectiveness of the developed software projects. This includes keeping the software team focused and stimulating their interest. An excellent computation system should be able to calculate and compare software projects of several types and necessities. This computation system to measure effectiveness should be extensive, objective, and acceptable to all. A strong effectiveness measure is formulated in this research on the basis of a fuzzy approach, considering the following serious software success factors for Six Sigma implementation: involvement of software top management, staff application knowledge, staff tool and team skills, depth of software analysis and requirements to establish the root cause(s), timeline followed to complete the software project, and review and monitoring of the software project. The Six Sigma software projects producing the intended results of the evaluation system generally depend on the human perception that can result in unreliable computation. To overcome this fault or shortcoming, in this article we used a fuzzy logic expert system approach based on fuzzy linguistic parameters and fuzzy values for calculating the software project effectiveness by using software management perception to overcome unreliable computation due to human perception. The article defines suitable importance and performance grading for each selected factor for the effective implementation of Six Sigma software projects by using linguistic variables. The main advantage of this research is for the practicing organizations to utilize this system of methods for impartial evaluation of developed software projects.