Innovative Cost Estimation for Agile Technology: A Novel Energy Storage Technique Incorporating Modified Planning Poker

Komala C R, Sowmya H K, Aruna R, Arun Kumar S, Ramya Maranan, Prathusha Laxmi B, Nageswara Rao Medikondu, Dr. Rajaram A.

Abstract


Effort estimation is a critical aspect of every software creation project, irrespective of its development discipline, is it traditional or agile. Despite the initial limited project knowledge, accurate estimation of workload and effort holds immense significance for project success. This study addresses the challenges surrounding precise effort estimation and introduces the poker planning method utilizing a modified Fibonacci sequence as a potential solution. The aim of this paper is to examine the behavior and effectiveness of the modified Fibonacci sequence in the context of cost estimation within the agile methodology. By leveraging historical data, expert opinions, and an iterative approach, the proposed technique is evaluated and compared against traditional methods. The results provide insights into the performance of the modified Fibonacci sequence, offering a valuable contribution to enhancing accuracy in cost estimation for agile software development projects.


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References


S. Kolesnikov, N. Siegmund, C. Kästner, A. Grebhahn,

and S. Apel, 2019. “Tradeoffs in modeling performance

of highly configurable software systems”, Software &

Systems Modeling, 18(3), pp.2265-2283.

R. Burga, C. Spraakman, C.Balestreri, and D.Rezania,

, “Examining the transition to agile practices with

information technology projects: Agile teams and their

experience of accountability”, International Journal of

Project Management, 40(1), pp.76-87.

M.E. Helander, M. Zhao, and N. Ohlsson, 1998, “Planning

models for software reliability and cost”, IEEE

Transactions on Software Engineering, 24(6), pp.420-

C.W.Butler,L.R.Vijayasarathy, and N.Roberts, 2020,

“Managing software development projects for success:

Aligning plan-and agility-based approaches to project

complexity and project dynamism”, Project Management

Journal, 51(3), pp.262-277.

M.Hamid, F.Zeshan, A.Ahmad, F.Ahmad, M.A.Hamza,

Z.A.Khan, S. Munawar, and H.Aljuaid, 2020, “An

intelligent recommender and decision support system

(IRDSS) for effective management of software projects”,

IEEE Access, 8, pp.140752-140766.

Amjad, S., N. Ahmad, T. Saba, A. Anjum, U.Manzoor,

M.A. Balubaid, and S.U.R. Malik, 2017, “Calculating

completeness of agile scope in scaled agile

development, IEEE Access, 6, pp.5822-5847.

T.J. Gandomani, Z. Tavakoli, H. Zulzalil, and H.K.

Farsani, 2020, “The Role of Project Manager in Agile

Software Teams: A Systematic Literature Review”, IEEE

Access, 8, pp.117109-117121.

P. Letelier, and M.C. Penades, 2017, “Agileroadmap: An

approach to implement agile practices in teams, IEEE

Latin America Transactions, 15(7), pp.1295-1300.

M.Shepperd, and C. Schofield, 1997. “Estimating software

project effort using analogies,” IEEE Transactions on

software engineering, 23(11), pp.736-743.

A.A. Sabahat, Malik, and F. Azam, 2017. “A size

estimation model for board-based desktop games, “ IEEE

Access, 5, pp.4980-4990.

M.El Bajta, A.Idri, J.N. Ros, J.L Fernández-Alemán,

J.M.C de Gea, F. García, and A. Toval, 2018, “Software

project management approaches for global software

development: a systematic mapping study,” Tsinghua

Science and Technology, 23(6), pp.690-714.

Ciampa, Pier Davide, and Björn Nagel, "AGILE

Paradigm: the next generation collaborative MDO for the

development of aeronautical systems," Progress in

Aerospace Sciences 119 (2020): 100643.

A.Zaitsev, U. Gal, and B. Tan, 2020, “Coordination

artifacts in Agile Software

Development,” Informationand Organization, 30(2),

p.100288.

C.Tam, Moura da Costa, E.J. Oliveira, and J. Varajão,

, “The factors influencing the success of ongoing

agile software development projects, International Journal

of Project Management, 38(3), pp.165-176.

M.Fernández-Diego, E.R.Méndez, F.González-LadrónDe-Guevara, S. Abrahão, and E.Insfran, 2020, “An update

on effort estimation in agile software development: A

systematic literature review”, IEEE Access, 8, pp.166768-

M. Grossi, "Energy Harvesting Strategies for Wireless

Sensor Networks and Mobile Devices: A

Review", Electronics., vol. 10, no. 6, pp. 661, 2021.

P. Livreri, "A 3.3 V Output Voltage Optical Plasmonic

Solar Energy Harvester", 2021 10th International

Conference on Renewable Energy Research and

Application (ICRERA), pp. 310-31, 2021.

Ramakrishna Nuvvula, Elangovan Devaraj & Kishore

Teegala Srinivasa (2021): Optimal Sizing of BESS- WtE

Supported Hybrid Renewable Energy Sources to Improve

Sustainability of Smart Cities with Ramp-Rate

Limitations on Thermal Power Stations.. International

Transactions on Electrical Energy Systems. DOI:

1002/2050-7038.13241

T. S. L. V. Ayyarao Ramakrishna S.S. Nuvvula Baseem

Khan 'Extended State Observer-based Primary Load

Frequency Controller for Power Systems with Ultra-High

Wind-Energy Penetration Journal of Electrical

Engineering & Technology – Springer -2022 .

M. Colak, I. Cetinbas and M. Demirtas, "Fuzzy Logic

and Artificial Neural Network Based Grid-Interactive

Systems for Renewable Energy Sources: A

Review", 2021 9th International Conference on

Smart Grid (icSmartGrid), pp. 186-191, 2021.




DOI (PDF): https://doi.org/10.20508/ijrer.v13i4.14270.g8842

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