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Identifying customer satisfaction of software projects from software project metrics

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dc.contributor.advisor Perera I
dc.contributor.author Sinthooran J
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.citation Sinthooran, J. (2019). Identifying customer satisfaction of software projects from software project metrics [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/16004
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/16004
dc.description.abstract In the era of modern computing, software companies compete each other on respective fields to withstand in the market. It is hard to retain a customer even though every project might not be same as the other project(s). Reports suggest that huge software companies failed to secure a fortune customer while meager software companies like startups increased their business simply by focusing on customer satisfaction. Some customers tend to end the contract with the software company or move to another vendor although the project is marked as success (e.g. completion of project etc.) since the customer satisfaction is not met. The thesis focuses on identifying the customer satisfaction of software projects from software project metrics in the various stages of software projects such as beginning of the project, while the project is ongoing and during maintenance. Success of the organization depends on the success of the project(s) they do. Success of the project depends on the delight of the customer(s). Therefore, the customer satisfaction is vital for the existence of the organization. The main objective of the thesis is to find the relationship between the actual customer satisfaction score/index and the software project metrics during the project duration. Based on the relationship built, predict the current/future customer satisfaction of the customer(s) regarding the software project will help decision makers such as project managers, higher management to get an idea about how the project is progressing and take necessary steps to eliminate the customer dissatisfaction if the progress is indicating as such. As a solution, Composite Customer Satisfaction Rating formula was developed which is derived from the software project metrics. Among all the software project metrics, five main influencing factors of software project metrics which affects the delight of the customer(s) were identified. As the proof of concept, CDI Validation Tool was developed to prove that the concept is applicable in real life situation(s). CDI Validation Tool compares the customer satisfaction score/index and Composite Customer Satisfaction Rating and validate whether the calculated Composite Customer Satisfaction Rating reflects the actual customer satisfaction score/index and advocate of which area of the software project metrics should improve to increase the client delight. A theoretical and empirical evaluation has been done to prove this concept works in real life cases. Evaluation of CDI Validation Tool comprises two phases: Empirical evaluation and performance evaluation. During Empirical evaluation, the Composite Customer Satisfaction Rating formula was applied to an example and results were recorded accordingly. The results illustrate that the Composite Customer Satisfaction Rating reflects the actual customer satisfaction score/index and it can be applied for real. Performance evaluation results indicate that the CDI Validation Tool exhibit an overall good performance with an average processing time of equivalent to 5 milliseconds per record for a large data set. en_US
dc.language.iso en en_US
dc.subject COMPUTER SCIENCE AND ENGINEERING-Dissertations en_US
dc.subject COMPUTER SCIENCE-Dissertations en_US
dc.subject SOFTWARE INDUSTRY-Customer Satisfaction en_US
dc.subject CUSTOMER SERVICES en_US
dc.title Identifying customer satisfaction of software projects from software project metrics en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Computer Science and Engineering en_US
dc.identifier.department Department of Computer Science & Engineering en_US
dc.date.accept 2019
dc.identifier.accno TH4007 en_US


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