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5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects
Journal of Artificial Intelligence and Big Data
| Vol 4, Issue 1
Table 1. 1: ResearchQuestions.
| Number | Research Question |
| RQ1 | How can we term the 5'Vs of big data in the context of big code for big Software's |
| RQ2 | What are some common strategies for optimizing performance in big code and big software? |
| RQ3 | How many libraries and modules so far, we have for all the languages in programming? |
| RQ4 | How can developers deal with memorization of code? Is there any need to keep code in memory |
| RQ5 | How can developers effectively collaborate and share knowledge when working on big software projects? |
| RQ6 | How helpful is DevOps when dealing with big code? |
| RQ7 | How can developers ensure the veracity of the code in big software projects? |
| RQ8 | What is the future behind the increase in size of code & it's complexity & what can be done? |
| RQ9 | How OOP Pattern be utilized in order to assist in reducing the complexity & increase in code size |
| RQ10 | How can the SOLID principles be applied to manage code size effectively? |
| RQ11 | How will future design patterns can be implemented besides OOP? |