Agile Methodology Integrated Programming Planned (PIP) to Optimize the Development of Educational Software
Cesar Patricio-Peralta1, Jesús Zamora Mondragon2, Jacker Paredes Meneses3, Jimmy Ramirez Villacorta4, Adan Eugenio Contreras Angeles5, Carlos Alberto Garcia Cortegano6
1Cesar Patricio-Peralta, Universidad Nacional Federico Villarreal, Lima, Perú.
2Jesús Zamora Mondragon, Universidad César Vallejo, Lima, Perú.
3Jacker Paredes Meneses, Universidad Nacional de la Amazonia Peruana, Iquitos, Perú.
4Jimmy Max Ramirez Villacorta, Universidad Nacional de la Amazonia Peruana, Iquitos, Perú.
5Adan Eugenio Contreras Angeles, Universidad Tecnológica del Perú, Lima, Perú.
6Carlos Alberto Garcia Cortegano, Universidad Nacional de la Amazonia Peruana, Iquitos, Perú.
Manuscript received on 24 February 2025 | First Revised Manuscript received on 06 March 2025 | Second Revised Manuscript received on 18 April 2025 | Manuscript Accepted on 15 May 2025 | Manuscript published on 30 May 2025 | PP: 15-19 | Volume-14 Issue-6, May 2025 | Retrieval Number: 100.1/ijitee.D107514040325 | DOI: 10.35940/ijitee.D1075.14060525
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The new Agile Methodology, Planned Integrated Programming (PIP), is an efficient and robust alternative for manufacturers, developers, and students of Software Engineering. The study employs an experimental design that enables the evaluation of the impact of the Agile PIP Methodology on the development of educational software. The population consisted of 5 professionals in charge of creating and maintaining Educational Software, 15 teachers and 10 students from the School of Systems Engineering of the University of San Martín de Porres. The Results: Based on chi-square tests, they demonstrate that PIP has a significant impact. With a Continuity Correction statistic value of 8.643 and a p-value of 0.003, it is concluded that PIP significantly improves the development of educational software, reducing development times, testing errors, and improving satisfaction. The application of PIP in the School of Systems Engineering at USMP proved effective, with an 80% effectiveness rate according to the scale indicators. Conclusions: The Agile Planned Integrated Programming (PIP) methodology has proven to be a valuable resource for developing educational software in the university context, achieving substantial improvements in quality, delivery times, and user satisfaction, which validates its application in other similar projects within the academic sector.
Keywords: Methodology, Agile, Flexibility, Adaptability, Educational Software, Planned Integrated Programming (PIP).
Scope of the Article: Software Engineering & Applications