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Reseach Article

Process Models and Estimation Methods in Cloud, Artificial Intelligence and Mobile Software Development Scenarios: A Systematic Review

by Sadhana Pandey, Abhay Kothari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 18
Year of Publication: 2025
Authors: Sadhana Pandey, Abhay Kothari
10.5120/ijca2025925249

Sadhana Pandey, Abhay Kothari . Process Models and Estimation Methods in Cloud, Artificial Intelligence and Mobile Software Development Scenarios: A Systematic Review. International Journal of Computer Applications. 187, 18 ( Jul 2025), 33-38. DOI=10.5120/ijca2025925249

@article{ 10.5120/ijca2025925249,
author = { Sadhana Pandey, Abhay Kothari },
title = { Process Models and Estimation Methods in Cloud, Artificial Intelligence and Mobile Software Development Scenarios: A Systematic Review },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2025 },
volume = { 187 },
number = { 18 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number18/process-models-and-estimation-methods-in-cloud-artificial-intelligence-and-mobile-software-development-scenarios-a-systematic-review/ },
doi = { 10.5120/ijca2025925249 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-09T01:07:36.637624+05:30
%A Sadhana Pandey
%A Abhay Kothari
%T Process Models and Estimation Methods in Cloud, Artificial Intelligence and Mobile Software Development Scenarios: A Systematic Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 18
%P 33-38
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The software development life cycle (SDLC) provides a systematic framework with specific deliverables at each phase of the software development. As the characteristics of each categories of software are different in many ways, it becomes crucial to study process model for such categories of software separately. Cost estimation is the fundamental area that chooses budgetary constraints related to these software applications which keep company to maintain accurate estimates for such application development to maintain their reputation in the market. In this research paper we have studied process model and estimation techniques for Artificial Intelligence application, cloud application and Mobile application in particular. The process model for artificial intelligence, cloud, mobile application have been studied and presented separately. We have also studied basic COCOMO model, intermediate COCOMO model as a fundamental work in cost estimation.

References
  1. Risener, K. (2022). A Study of Software Development Methodologies. Computer Science and Computer Engineering Undergraduate
  2. Amira A. Alshazly, Mustafa Y. ElNainay , Adel A. El-Zoghabi, Mohamed S. Abougabal, (2020) Ain Shams Engineering Journal. A cloud software life cycle process (CSLCP) model.(6).
  3. J.Rashid, 2 T.Mahmood, 3 M.W.Nisar. Technical Journal, University of Engineering and Technology (UET) Taxila, Pakistan. A Study on Software Metrics and its Impact onSoftware Quality. 2313-7770.
  4. Usman, M., Mendes, E., Weidt, F., Britto, R. (2014) Effort estimation in agile software development: a systematic literature review. In: Proceedings of the 10th International Conference on Predictive Models in Software Engineering(pp. 82-91).
  5. Ekrem Kocaguneli, Ayse Tosun, Ayse Bener. AI-Based Models for Software Effort Estimation. Conference Paper in Conference Proceedings of the EUROMICRO · September 2010.
  6. Rahul Kumar Yadav and S. Niranjan.(2017) Indian Journal of Science and Technology, Project Effort Estimation using COCOMO-2 Metrics with Fuzzy Logic. Vol 10(29),
  7. Gajender pal, Manish kumar, Kuldeep barala. IJRDO - Journal of Computer Science and Engineering. A review paper on cocomo model. ISSN: 2456-1843
  8. ALI IDRI AND ALAIN ABRAN Laïla KJIRI.(2000). Cocomo Cost Model Using Fuzzy Logic. 7th International Conference on Fuzzy Theory &Technoloy Atlantic City, New Jersey, February 27 – March 3, 2000
  9. A G Priya Varshini et al 2021 J. Phys.: Conf. Ser. 1767 012019. .
  10. Mohammed Aljohani and Rizwan Qureshi.(2017). International Journal of Software Engineering & Applications (IJSEA), Vol.8, No.6. COMPARATIVE STUDY OF SOFTWARE ESTIMATION TECHNIQUES.
  11. Gangwani, D. and Mukherjee, S. (2015) Analyzing the Impact of Different Factors on Software Cost Estimation in Today’s Scenario. Journal of Software Engineering and Applications, 8, 245-251
  12. Saurabh Bilgaiyan, Santwana Sagnika, Samaresh Mishra and Madhabananda Das. Journal of Engineering Science and Technology Review · August 2017. A Systematic Review on Software Cost Estimation in Agile Software Development
  13. Chirra, S.M.R. and Reza, H. (2019) A Survey on Software Cost Estimation Techniques. Journal of Software Engineering and Applications , 12, 226-248
  14. Jaiswal A, Malviya P, Parihar L, et al. Software cost estimation tool: A App based application, estimate the cost of software project. Computing and Artificial Intelligence. 2024; 2(2): 1364
  15. Ziema Mushtaq1,*, Sami Alshmrany2, Fahad Alturise3, and Tamim Alkhalifah. EAI Endorsed Transactions on Energy Web. Early Size and Effort Estimation of Mobile Application Development
  16. KRUTI LAVINGIA ∗, RAJ PATEL †, VIVEK PATEL ‡, AND AMI LAVINGIA.(2024). Scalable Computing: Practice and Experience, ISSN 1895-1767. SOFTWARE EFFORT ESTIMATION USING MACHINE LEARNING ALGORITHMS. Volume 25, Issues 2, pp. 1276–1285
  17. Ashita Malik, Varun Pandey, Anupama Kaushik. I.J. Intelligent Systems and Applications, 2013, 05, 68-75. An Analysis of Fuzzy Approaches for COCOMO II
  18. Zarour, A. & Zein, S. (2019). Software development estimation techniques in industrial contexts: An exploratory multiple case-study. International Journal of Technology in Education and Science (IJTES), 3(2), 72-84.
  19. Rohit Kumar Sachan∗, Ayush Nigam, Avinash Singh, Sharad Singh, Manjeet Choudhary, Avinash Tiwari and Dharmender Singh Kushwaha.(2016). Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016). Optimizing Basic COCOMO Model using Simplified Genetic Algorithm.
  20. Ziema Mushtaq, Abdul Wahid.(2018). IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719. Cost Estimation for Mobile Application Development: Review.
  21. Chaudhary hamza rashid 1, imran shafi 2, jamil ahmad.(2023).IEEE ACCESS. Software Cost and Effort Estimation: Current Approaches and Future Trends. Digital Object Identifier 10.1109/ACCESS.2023.3312716.
  22. Khin shin thant, hlaing htake khaung TIN (2023). Innovare Journal of Engineering and Technology. Learning the efficient estimation techniques for successful software project management. Vol 11, 2023
  23. Chirra, S.M.R. and Reza, H. (2019) A Survey on Software Cost Estimation Techniques. Journal of Software Engineering and Applications , 12, 226-248.
  24. Ronald Jabangwe a, Henry Edison b, Anh Nguyen Du.(2018). Journal of Systems and Software Volume 145, November 2018, Pages 98-111. Software engineering process models for mobile app development: A systematic literature review.
  25. Constanze Hasterok and Janina Stompe.(2022). Automatisierungstechnik 2022; 70(9): 777–786. PAISE® – Process model for AI systems engineering Abrahamsson, P., Hanhineva, A., Hulkko, H., Ihme, T., Jäälinoja, J., Korkala, M. Koskela, J., Kyllönen, P., Salo, O.: Mobile-D: An Agile approach for mobile application
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence (AI) Application development process Model COCOMO Process Model Cloud Application Development Process Mobile Application development Process Software Development Life Cycle (SDLC) Cloud Software Life Cycle Process (CSLCP) Model