Project Assessment in Offshore Software Maintenance Outsourcing Using Deep Extreme Learning Machines
نویسندگان
چکیده
Software maintenance is the process of fixing, modifying, and improving software deliverables after they are delivered to client. Clients can benefit from offshore outsourcing (OSMO) in different ways, including time savings, cost quality value. One hardest challenges for OSMO vendor choose a suitable project among several clients’ projects. The goal current study recommend machine learning-based decision support system that vendors utilize forecast or assess clients. projects belong vendors, having offices developing countries while providing services developed countries. In study, Extreme Learning Machine’s (ELM’s) variant called Deep Machines (DELMs) used. A novel dataset consisting 195 data proposed train model evaluate overall efficiency model. DELM’s based evaluations achieved 90.017% training accuracy value with 1.412 × 10–3 Root Mean Square Error (RMSE) 85.772% testing 1.569 10−3 RMSE five DELMs hidden layers. results express suggested has gained notable recognition rate comparison any previous studies. also concludes as most applicable useful technique client’s assessment.
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ژورنال
عنوان ژورنال: Computers, materials & continua
سال: 2023
ISSN: ['1546-2218', '1546-2226']
DOI: https://doi.org/10.32604/cmc.2023.030818