Application development with Agile and Django-React framework: a case study on automated reliability testing with bus ticketing system
Software start-ups have shown their ability to develop and launch innovative software products and services. Startups start with a small and highly motivated team and each individual works together to design, develop and launch new products. Small, motivated teams and uncertain project scope make startups good candidates for adopting Agile practices. The Agile method follows an iterative approach which can be implemented to make product flexible and to deal with the changing demands of customers. We explore the impact with adoption of Agile methodologies and Django-React framework on reliability of software. We developed the Bus Ticketing System by means of Django-React framework and Agile methodologies. Operational profile based testing is performed to observe the state change of each module and usability testing is done by checking the functionality of each module. Generative artificial intelligence is applied for automated test case generation for operational profile based testing. Our results of the study verify the fusion of Django-React Framework with Agile methodologies for software development help developers to create scalable, efficient and optimized web applications. The use of React for front end development and Django for backend development with agile methodologies provide the high-quality end product. The operational profile based testing with generative artificial intelligence and usability testing support the reliability of software which leads to customer satisfaction.
Authors
- Asim Mumtaz (ORCID: https://orcid.org/0000-0002-8982-5206)
- Muhammad Haroon (ORCID: https://orcid.org/0000-0002-7386-5107)
- Syed Ali Haider Naqvi (ORCID: https://orcid.org/0000-0001-8868-2111)
- Adnan Ahmed (ORCID: https://orcid.org/0009-0004-4862-1292)
Publication Details
- Journal
- Известия ТПУ Промышленная кибернетика
- Published
- 2025-10-02
- DOI
- https://doi.org/10.18799/29495407/2025/3/93
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00