Effort Estimation in Agile Software Development: An Updated Review

2018 ◽  
Vol 28 (11n12) ◽  
pp. 1811-1831 ◽  
Author(s):  
Emanuel Dantas ◽  
Mirko Perkusich ◽  
Ednaldo Dilorenzo ◽  
Danilo F. S. Santos ◽  
Hyggo Almeida ◽  
...  
Keyword(s):  
Software Development ◽  
State Of The Art ◽  
Agile Software Development ◽  
The State ◽  
Development Effort ◽  
Software Project ◽  
Effort Estimation ◽  
Cost Drivers ◽  
Machine Learning Methods ◽  
Agile Software

One of the main issues of an agile software project is how to accurately estimate development effort. In 2014, a Systematic Literature Review (SLR) regarding this subject was published. The authors concluded that there were several gaps in the literature, such as the low level of accuracy of the techniques and little consensus on appropriate cost drivers. The goal of our work is to provide an updated review of the state of the art based on this reference SLR work. We applied a Forward Snowballing approach, in which our seed set included the former SLR and its selected papers. We identified a strong indication of solutions based on Artificial Intelligence and Machine Learning methods for effort estimation in Agile Software Development (ASD). We also identified that there is a gap in terms of agreement on suitable cost drivers. Thus, we applied Thematic Analysis in the selected papers and identified a representative set of 10 cost drivers for effort estimation. This updated review of the state of the art resulted in 24 new relevant papers selected.

scholarly journals AGILE SOFTWARE DEVELOPMENT

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Gopalkrishna Waja ◽  
Jill Shah ◽  
Pankti Nanavati
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Extreme Programming ◽  
Software Project ◽  
Research Papers ◽  
Agile Methodology ◽  
Development Methodology ◽  
Software Development Methodology ◽  
Agile Software ◽  
The Impact

Agile Software Development plays a quintessential part in modern day software development. The term Agile refers to frequent reassessment and adaptation of plans and techniques and dividing tasks into shorter tasks for efficiency. Agile Software Development differs considerably from Traditional Software Development Methodology. Agile methodology aims to deliver features of a software project in small steps within a short duration of time (i.e., iterations). Hence, it becomes necessary to use agile software development methodology in todays’ fast-paced revolutionizing software industry. This paper discusses the important subtopics of Agile Software Development which gathered by reviewing/surveying of research papers. First, is the Agile Planning Life Cycle which consists of various stages such as pre-planning, planning, release planning and product backlog management. In the next section, principles such as Scrum, Extreme Programming, Kanban and Lean are discussed. The last section comprises the impact of Agile principles on software quality.

scholarly journals Effort Estimation in Agile Software Development: an Updated Review

2018 ◽  
Author(s):  
Emanuel Dantas Filho ◽  
Mirko Perkusich ◽  
Ednaldo Dilorenzo ◽  
Danilo Santos ◽  
Hyggo Almeida ◽  
...  
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Effort Estimation ◽  
Agile Software

scholarly journals Current Research Trend on Agile Software Development

2019 ◽  
pp. 99-105
Author(s):  
Handrie Noprisson
Keyword(s):  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Traditional Approach ◽  
Agile Software Development ◽  
Research Trend ◽  
Effort Estimation ◽  
Software Methodology ◽  
Meta Analyses ◽  
Agile Software

In recent years, the software development methodology evolves from the traditional approach to agile software development. This paper attempted to conduct a systematic literature review (SLR) regarding the improved agile software development to tackle its weakness based on recent research papers. Systematic Reviews and Meta-Analyses (PRISMA) as Systematic Literature Review Method (SLR). SLR is the review method which uses some protocols in order to minimize bias in the reviews. The improved of agile software methodology mostly regarding code reusability, usability, project quality, estimation, software delivery, usability, user responses and requirements delivery, communication between members, usability, practical activities, communication between team and stake holder, usability, workflow (learning), problem identification and effort estimation.

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