Article: Effort forecasting approach for new generation agile projects Journal: International Journal of Grid and Utility Computing (IJGUC) 2025 Vol.16 No.5/6 pp.421 - 431 Abstract: Now-a-days many software companies are undertaking agile software development along with traditional software development based on waterfall model. Effort estimation is an important constituent of any software development firm as it can measure the success rate of a software project. In this paper, an analogy-based model for effort estimation is proposed for agile projects. The model is evaluated on three agile data sets and evaluation criteria used are Mean Magnitude of Relative Error (MMRE), Median magnitude of relative error (MdMRE) and prediction (PRED). The results demonstrated that the analogy-based model for effort estimation which was extensively used for traditional software development works well with the projects developed using agile methodologies also. Two statistical tests are also performed, Friedman's test and Holm Post-Hoc test based upon the MMRE values. The results of these tests communicated that analogy-based effort estimation can be done for the agile projects as well. Inderscience Publishers - linking academia, business and industry through research

Title: Effort forecasting approach for new generation agile projects

Authors: Anupama Kaushik; Prabhjot Kaur; Tirimula Rao Benala; Muhammad Altaf Ahmed

Addresses: Department of IT, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi, India ' Department of IT, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi, India ' Department of IT, JNTU-GV College of Engineering, Vizianagaram, Andhra Pradesh, India ' Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Abstract: Now-a-days many software companies are undertaking agile software development along with traditional software development based on waterfall model. Effort estimation is an important constituent of any software development firm as it can measure the success rate of a software project. In this paper, an analogy-based model for effort estimation is proposed for agile projects. The model is evaluated on three agile data sets and evaluation criteria used are Mean Magnitude of Relative Error (MMRE), Median magnitude of relative error (MdMRE) and prediction (PRED). The results demonstrated that the analogy-based model for effort estimation which was extensively used for traditional software development works well with the projects developed using agile methodologies also. Two statistical tests are also performed, Friedman's test and Holm Post-Hoc test based upon the MMRE values. The results of these tests communicated that analogy-based effort estimation can be done for the agile projects as well.

Keywords: software development effort; analogy estimation; agile projects; agile methodologies; agile effort; similarity measures; Zia Dataset; CD-1 Dataset; CD-2 Dataset.

DOI: 10.1504/IJGUC.2025.148543

International Journal of Grid and Utility Computing, 2025 Vol.16 No.5/6, pp.421 - 431

Received: 17 Apr 2024
Accepted: 13 Jul 2024
Published online: 11 Sep 2025 *

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Title: Effort forecasting approach for new generation agile projects

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