Wastes Generated during Requirement Engineering in AI Era

Abstract

Requirement Engineering is a core software engineering activity that acts as the foundation of quality software. In this modern AI Era, it becomes increasingly critical and is prone to generating various forms of waste. For instance, partially cognitive load, analysis paralysis, partially done work, and gold plating. It can impact not only the requirement engineer’s mental well-being but also decrease client satisfaction. Waste identification and elimination have been explored in the literature; however, there is a gap in identifying waste generated during requirement engineering. There is a dire need to identify waste generated during RE in this modern AI era. To achieve this, the current study presents a systematic literature review protocol to identify waste generated during RE. This study will be beneficial to requirements engineers in managing the identified wastes and improving their productivity. It will also provide research opportunities for researchers to provide solutions to the identified waste. The researchers can extend their research to other software engineering activities that have not yet been explored.