An Exploratory Study for Identification, Classification, and Removal of Waste in Lean Software Development: A Multivocal Literature Review Protocol with Preliminary Results

Identification, Classification, & Removal of Waste in Lean Software

Abstract

Lean Software Development (LSD) is an emerging area adopted by the software industry from manufacturing industry. LSD provides value to the customer by delivering the product with only value-adding activities/features and by not including the unwanted features/activities (waste). As LSD is a new and evolving area, there is less resource/data available regarding practices and principles for identification and elimination of waste. Also, there is no standard method available for handling waste. Hence, there is a need to explore the literature to find an explicit list of methods, principles and practices used to identify, classify and remove waste in LSD. This is helpful to bring everyone on one page and have a common understanding of how to fully incorporate lean concept in developing a software. The primary goal of this paper is to design a comprehensive Multivocal Literature Review (MLR) protocol to explore and identify the methods, principles and practices of LSD in handling waste. A MLR is conducted to find the methods, practices and principles used in order to identify, measure and remove waste in LSD. The protocol is currently in implementation stage. The study is looking forward to getting a list of methods, principles and practices used in handling waste in LSD after the conduction of this MLR.