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.

The Role of Neural Networks and Metaheuristics in Agile Software Development Effort Estimation

2022 ◽  
pp. 306-328
Author(s):  
Anupama Kaushik ◽  
Devendra Kumar Tayal ◽  
Kalpana Yadav
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Software Development ◽  
Statistical Tests ◽  
Agile Software Development ◽  
Effort Estimation ◽  
Software Development Effort ◽  
Artificial Neural ◽  
Agile Software

In any software development, accurate estimation of resources is one of the crucial tasks that leads to a successful project development. A lot of work has been done in estimation of effort in traditional software development. But, work on estimation of effort for agile software development is very scant. This paper provides an effort estimation technique for agile software development using artificial neural networks (ANN) and a metaheuristic technique. The artificial neural networks used are radial basis function neural network (RBFN) and functional link artificial neural network (FLANN). The metaheuristic technique used is whale optimization algorithm (WOA), which is a nature-inspired metaheuristic technique. The proposed techniques FLANN-WOA and RBFN-WOA are evaluated on three agile datasets, and it is found that these neural network models performed extremely well with the metaheuristic technique used. This is further empirically validated using non-parametric statistical tests.

Effort Estimation in Agile Software Development: A Systematic Mapping Study

2021 ◽  
Author(s):  
Nour elhouda Farih ◽  
Khalid Nafil ◽  
Rochdi El Messousi
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Development Project ◽  
Agile Development ◽  
Systematic Mapping Study ◽  
Effort Estimation ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Mode Of Development ◽  
Agile Software

Context: Estimating effort has always been considered an important element at the start of each software development project. The challenge of estimating the effort of software development lies in its precision. With the emergence of agile methodologies, methods for effort estimation (EE) had to adapt to this new development path. In this article, we are conducting a systematic mapping study on effort estimation in the context of agile software development. Objective: we want to identify the estimation approaches and techniques used in the context of agile development to better understand the specifics and trends relating to this mode of development. Method: we conducted a systematic mapping study by adopting the guideline explained in[1] [2]. A systematic review of the literature [3] has already been carried out for publications between 2001 and 2013. This work is an extension of this previous study. We queried 5 electronic databases. Conclusion: We retrieved 11350 paper from five electronic databases. A total of 108 papers is selected after applying the inclusion and exclusion criteria. Based on the results, there is a general increase over the years of studies concerning effort estimation in agile software development.

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