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Sasi Vardhan, T.
- A Study on Agile Software Development
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Authors
Affiliations
1 Dept. of CSE, MRECW, Hyderabad, Telangana, IN
2 Dept. of CSE, BVRIT, Narsapur, Medak, Telangana, IN
1 Dept. of CSE, MRECW, Hyderabad, Telangana, IN
2 Dept. of CSE, BVRIT, Narsapur, Medak, Telangana, IN
Source
International Journal of Research in Signal Processing, Computing & Communication System Design, Vol 4, No 1 (2018), Pagination: 16-20Abstract
Agile software development has rapidly gained a lot of interest in the field of software engineering. Agile software development, despite its novelty, is an important domain of research within software engineering discipline. Agile software development methods have caught the attention of software engineers and researchers worldwide. Scientific research is yet scarce, there has been little detailed reporting of the usage, penetration and success of agile methodologies in traditional, professional software development organizations. Agile development focuses on cross functional teams empowered to make decisions, versus big hierarchies and splitting by function. The field is relatively nascent and research is in its initial stages.Keywords
Agile Methodologies, Agile Software Development, Software Engineering.
References
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- Manifesto for Agile Software Development.
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- A. Agrawal, Md. A. Atiq, and L. S. Maurya, “A current study on the limitations of agile methods in industry using secure Google forms,” Procedia Computer Science, vol. 78, pp. 291 297, 2016.
- V. P. Eloranta, K. Koskimies, and T. Mikkonen, “Exploring ScrumBut - An empirical study of Scrum anti-patterns,” Information and Software Technology, vol. 74, pp. 194-203, 2016.
- P. Gregory, L. Barroca, H. Sharp, A. Deshpande, and K. Taylor, “The challenges that challenge: Engaging with agile practitioners’ concerns,” Information and Software Technology, vol. 77, pp. 92-104, 2016.
- V. T. Heikkila, M. Paasivaara, K. Rautiainen, C. Lassenius, T. Toivola, and J. Jarvinen, “Operational release planning in large-scale Scrum with multiple stakeholders - A longitudinal case study at F-Secure Corporation,” Information And Software Technology, vol. 57, pp. 116-140, 2015.
- A Study on Human Centric Agile Methodologies with Big Data & Predictive Analytics in Software Development
Abstract Views :424 |
PDF Views:0
Authors
Affiliations
1 Dept. of CSE, UOT, Jaipur, Rajasthan, IN
2 NIC, Hyderabad, Telangana, IN
3 Dept. of CSE, BVRIT, Narsapur, Telangana, IN
1 Dept. of CSE, UOT, Jaipur, Rajasthan, IN
2 NIC, Hyderabad, Telangana, IN
3 Dept. of CSE, BVRIT, Narsapur, Telangana, IN
Source
International Journal of Research in Signal Processing, Computing & Communication System Design, Vol 5, No 1 (2019), Pagination: 29-32Abstract
This paper proposes an agile model-based systems engineering (SE) methodology to engineer the contemporary large, complex, and interdisciplinary systems of systems. This paper introduces the reader the background of Big Data Analytics and how efficiently Agile methodology can be applied to achieve the business goal. The journal focus on giving background of Big Data and how using Agile practices such as iterative, incremental, and evolutionary style of development can be applied for Big Data Analytics. This methodology brings in the advantage of involving business community during development and continuous delivery of working user features. The Agile uses a universal and intuitive SE base process, reducing the complexity and intricacy of the base methods, emphasizing the agile principles such as continuous communication, feedback and stakeholders’ involvement, short iterations, and rapid response, and rousing the utilization of a coherent system model developed through the benchmark systems graphical modeling languages. The Agile methodology also includes a supporting graphical tool that aims to be an agile instrument to be used by systems engineers in a model-based development environment.Keywords
Agile, Big Data Analytics, Big Data, Data Analyst, Model-based System Engineering (MBSE), Software Engineering.References
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- R. Jurney, Agile Data Science, 2013.
- M. Poppendieck, and T. Poppendieck, Lean Software Development: An Agile Toolkit, Addison-Wesley, Boston, 2003.
- V. Mayer-Schonberger, and K. N. Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think, 2013.
- M. Poppendieck, and T. Poppendieck, Leading Lean Software Development: Results Are not the Point, Addison-Wesley, Upper Saddle River, NJ, 2010.