Browsing by Author "Torun, Elif"

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Software Projects Clustering and Selection by Machine Learning Methods
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Torun, Elif; Ağralı, Semra
In today’s hyper volatile business world, software development projects play key roles in maintain the current situation of the company and they are vital in taking the company one step further. Selecting the right project to invest is a critical decision point regarding the hard competition, diminishing profitability and high cost of the projects. The main aim of this study is clustering the projects and deciding which project to invest by using machine learning methods. We use IT project demands data of one of the biggest banks due to the capital, number of transactions and number of customer portfolio in Turkey. The data includes 2048 Information Technology related project demands occurred in 2017 and 2018. For the clustering part of the project both unsupervised and supervised learning methods are used and success rates are compared. We observe that supervised learning methods are more successful than the unsupervised ones. For the project selection part all process of the bank and output of the all steps are reviewed. According to our results, second workshop, which is the last step of the project assessment and selection process, has almost 50% of the total process effort and gives the precise effort estimation as an outcome, can be eliminated, and the project selection decision can be made with around 90% success ratio with machine learning methods. The result of this study provides an efficient way to select projects and a platform to see the complexity of the project portfolio.