Yazılım geliştirmede bulanık çıkarım yaklaşımı yoluyla risk değerlendirmesi

Software projects have a huge money related weight and need to put resources into high volumes. When seen costs dependent on the global substantial information on PC programming; it was $150 billion out of 1985, it was $2 trillion out of 2010, and it ignored $5 trillion after 2016. Additionally, in the time of 2018, simply a day by day giro of Apple Store was about $250 million. In spite of the costs and ventures that are dramatically expanding each year, the phase of effective advancement of the product ventures isn't high. In light of the "CHAOS" report arranged in 2016, just 17% of the product improvement ventures were finished in an opportune way, in the allotted financial plan and as per the necessities. 53% of the ventures were finished over the long run or potentially over spending plan as well as additionally without satisfying the prerequisites precisely. 30% of the product ventures can't have been finished in the improvement stage. For that software development projects with such high expenses and low success rate could have a better quality structure, a risk assessment and management approach has to be determined for better software risk assessment and management methodology. In this doctoral thesis, a rule set, which has consisted of 32 original software risk parameters rules, about software risk assessment and management has been shown, and how to determine, get, design and develop has been explained step by step based on the fuzzy approach technique integrated with machine learning algorithm – ANFIS.