Improve The Efficiency and Code Quality Using A Framework Based On Big Data
The primary objective of utilizing recommendation frameworks is to pick up the efficiency of the designer by prescribing documents to alter. Now days use of recommendation systems while developing software increasing in order to speed up the process of software development by software developers. Data Collection will be depended on Primary and Secondary resources. The data will be accumulated from the subjective research will turn into the reason for the plan of quantitative examinations. We utilized Mylyn data. Mylyn records association follows from the Obscuration IDE and files them in the Overshadowing Bugzilla framework. In the present study, we will be utilized a non-probability testing procedure that is accommodation inspecting. Convenience sampling is typically utilized for gathering an extensive number of data. Distinctive kinds of systems can be utilized to assess diverse research results and make a sound decision for a given overview data. In this examination, data will be investigated utilizing distinctive quantitative and subjective methods.
Authors
- Nisha Auti (ORCID: https://orcid.org/0009-0009-0608-9142)
- A. M. Chavan (ORCID: https://orcid.org/0000-0003-0962-4031)
- Uruj Jaleel
Institutions
- Kalinga University (IN)
- Bharati Vidyapeeth (Deemed to be University) (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/gccit63234.2024.10862168
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00