5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects
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? |
|
|
|
