Statistical Analysis of the Effects of Heavyweight and Lightweight Methodologies on the Six-Pointed Star Model

Traditionally, software development organizations relied on heavyweight development methodologies, such as waterfall, V-model, and others. Later, agile development methodologies known as lightweight methodologies were introduced. Many considered these to be more flexible and more effective than heav...

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Published inIEEE access Vol. 6; pp. 8066 - 8079
Main Authors Akbar, Muhammad Azeem, Sang, Jun, Khan, Arif Ali, Amin, Fazal-E, Nasrullah, Hussain, Shahid, Sohail, Mohammad Khalid, Xiang, Hong, Cai, Bin
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Budgets
Documentation
Heavyweight methodologies
Lightweight
lightweight methodologies
Literature reviews
Organizations
Planning
Schedules
Software
Software development
software development life cycle
Software engineering
software requirement specification
Software systems
Statistical analysis
Task analysis
Waterfalls
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Summary:Traditionally, software development organizations relied on heavyweight development methodologies, such as waterfall, V-model, and others. Later, agile development methodologies known as lightweight methodologies were introduced. Many considered these to be more flexible and more effective than heavyweight methodologies. Both methodologies are equally important for a software development life cycle. The purpose of adopting software development methodologies is to optimize the process model to achieve milestones while concurrently and effectively managing time, budget, and quality. The literature review reveals that there is a lack of statistical evidence for determining the effect of both methodologies on the six-pointed star model (schedule, scope, budget, risk, resource, and quality). In this paper, statistical comparisons were performed for the effects of both methodologies on each factor of the six-pointed star model and the interdependency among factors. Numerical analyses were conducted based on survey responses collected from the experienced users of both methodologies. After examining the results of all the factors of both methodologies, it was determined that lightweight methodologies are suitable for small-scale projects and that heavyweight methodologies perform better for medium- and large-scale projects.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2805702