ROLE OF MACHINE LEARNING TECHNIQUES IN COST PREDICTION OF AGILE PROJECTS

In current scenario of software industry culture, an important and crucial task under project management
is accurate estimation of practical measures like cost and effort which subsequently results in successful
project completion. Many researchers have analysed and proposed various techniques in the estimation
for software projects using conventional frameworks like waterfall, incremental etc. In recent years as there
are technological advancements and there is a requirement of adaptation to technological changes, hence
agile development methodology has attracted the interest of many researchers and software developers in
software companies. Various researchers have proposed several techniques including opinion based,
algorithm based and machine learning based techniques for effort and cost estimation of software projects.
The proposed work in this paper deals with the study and analysis of the most popular techniques used in
every category of estimation practices.
In current scenario of software industry culture, an important and crucial task under project management
is accurate estimation of practical measures like cost and effort which subsequently results in successful
project completion. Many researchers have analysed and proposed various techniques in the estimation
for software projects using conventional frameworks like waterfall, incremental etc. In recent years as there
are technological advancements and there is a requirement of adaptation to technological changes, hence
agile development methodology has attracted the interest of many researchers and software developers in
software companies. Various researchers have proposed several techniques including opinion based,
algorithm based and machine learning based techniques for effort and cost estimation of software projects.
The proposed work in this study deals with the study and analysis of the most popular techniques used in
every category of estimation practices used in agile development. This paper describes a review of the
research work conducted in the effort estimation of non-agile and agile projects in the previous years,
which consists of different techniques and approaches. The first section describes an introduction of the
relevance of estimation in project management, the second section covers a study of all those researches
which have analysed the use of various machine learning based techniques for estimation of software
projects and in the third section a comparative analysis is done based on the studied literature in terms of
ROLE OF MACHINE LEARNING TECHNIQUES IN COST PREDICTION OF AGILE
PROJECTS
Dr. Manju Vyas
Associate Professor,
Jaipur Engineering College & Research Centre,
Jaipur ( Raj.)
ISSN–2277- 8721
EIIRJ
Volume–XII, Issue– I (a) Jan – Feb 2023
129 | P a g e
Electronic International Interdisciplinary Research
Journal
Original Research Article
SJIF Impact Factor: 8.095 Peer Reviewed Refereed Journal
various factors like techniques used, estimation accuracy, and their applicability in various scenarios as
part of summary of the chapter.