Inicio  /  Applied Sciences  /  Vol: 12 Par: 1 (2022)  /  Artículo
ARTÍCULO
TITULO

Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework

Mahesha Pandit    
Deepali Gupta    
Divya Anand    
Nitin Goyal    
Hani Moaiteq Aljahdali    
Arturo Ortega Mansilla    
Seifedine Kadry and Arun Kumar    

Resumen

DePaaS has the potential to be used as a global, shared platform for availing software defects prediction services by choosing appropriate base project, defect prediction model and prediction granularity. Over time, DePaaS can potentially become a rich source of defects metadata and provide deep insights into developing efficient software defects prediction models. It can promote inter-agency collaboration, data sharing, continuous improvement, and further research into application of artificial intelligence, genetic programming, and other techniques for solving key problems of software engineering.

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