Role of Requirement Prioritization Technique to Improve the Quality of Highly-Configurable Systems

Atif Ali,Shunkun Yang,Yaser Hafeez,Shariq Hussain

doi:10.1109/access.2020.2971382

Abstract

Highly-configurable systems are such systems which are not developed for single scenario. However, perhaps they have variable functionality and they are developed for hybrid scenarios. Producing a good highly-configurable system within time and with customer satisfaction is not easy. Handling requirements effectively in such a way that it take least time to market, is one of the most difficult tasks in highly-configurable system. In this paper, a quantitative requirement prioritization technique for highly-configurable systems is proposed. This technique involves all stakeholders and can be used primarily for large scale software projects. The proposed technique is evaluated by taking a case study of the highly-configurable point of sale for automotive industry. The result shows that the proposed technique provides promising results and can be enhanced with more future work.

Highlights

With the advent of technology, nowadays a lot of software systems are highly-configurable
The current approach is not focusing on the comparison with the prior techniques, this is because none of the requirement prioritization techniques are compatible with highly configurable system as we have extracted limitations in the former requirement prioritization techniques mentioned in the Table 5
All the requirements were already gathered from the clients

Summary

Introduction

With the advent of technology, nowadays a lot of software systems are highly-configurable. A highly-configurable system keeps unchanged the core functionality of the software and allows the customer to customize the distinct objects of the program [1]. It aids the customer with flexibility by providing hundreds and thousands of performance parameters. The improvement of HCSs give clear advantages to IT businesses, encouraging the outline and execution of various software systems that offer a typical center set of capacities diminishing expenses and time-to-market to organizations.

Methods

Results

Conclusion