Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach

Table 5

Selected parameters for effort and time estimation.

Variables	Description	Type	Role
Analyst’s capability	Ability to learn and examine the system	Nominal	Input
Application experience	Basic application knowledge and skills	Nominal	Input
Process complexity	Event and tasks assessment that make the process	Nominal	Input
Database size	Large and complicated database	Nominal	Input
Modern programming practice	Updated method used for development	Nominal	Input
Programmer’s capability	Knowledge and skill of programmer	Nominal	Input
Required software reliability	Failure-free probability of software	Nominal	Input
Schedule constraint	Earlier identify limitations on project schedule	Nominal	Input
Main memory constraint	Memory needs to effectively and efficiently completes several operations	Nominal	Input
Time constrain for CPU	Processing time to complete an action	Nominal	Input
Turnaround time	Amount of time required to complete a specific process	Nominal	Input
Virtual machine experience	Need for experience to operate on virtual systems	Nominal	Input
Use of software tools	Used of various modern framework	Flag	Input
Machine volatility	Experience and valuable knowledge to operate several machines	Nominal	Input
Effort	Efforts or resources required for development	Continuous	Output