Question:
Discuss About The Quantitative Extreme Programming Projects?
Adaptive or Agile System Development Methodology is an approach to managing a software project that embraces unpredictable changes to a project. Adaptive methodologies are highly flexible, iterative and interactive techniques of establishing project requirements in Information Technology (IT) and engineering. Agile project management entails application of agile methodologies in managing projects. These methodologies include Scrum, Extreme Programming (XP), DSDM and Feature Driven Development (FDD). These techniques promote project management process; that encourages the participation of all stakeholders, effective control, feedbacks and objective metrics (Moran, 2015). APM employs ideas from Agile software development in project management. The core characteristics of Agile techniques is that they all support iterative and incremental development. The project requirements and proposed solutions evolve systematically through cooperation between self-organizing, cross-functional teams.
Agile Project Management endorses adaptive planning, time-boxed iterative approach, and evolutionary development while promoting quick and flexible responses to change. The technique is based on the promotion of foreseen interactions between the stakeholders throughout the project life cycle (Beck et Al, 2013). The processes involved in the Agile project management are in line with the twelve principles of Agile Manifesto as put forward by Beck et al. (2013). The manifesto prioritizes customer satisfaction, flexibility in the development process, iterative development, cooperation between stakeholders, and effective communication among others.
There are three key plays in an Agile Project Management; the owner, project manager and the project team (Moran, 2015). Agile project management responsibilities are divided among the three stakeholders. The owner is tasked with the responsibility of handling the business aspects of the project – such as monitoring to ensure that the desired product is being built in the correct way, as well as making decisions about the given product. The manager, on the other hand, organizers the project team to optimize their productivity, organizes meetings, handles issues that may hinder the working of the team and does other managerial tasks for the project (Moran, 2015). Finally, the team has the responsibility of developing the most optimal methods of achieving the project goals.
Agile methodologies are characterized by their adaptive nature. This approach facilitates optimization of the design of the intended solution by encouraging changes throughout the project (Moran, 2015). Adaptive methodologies are therefore more preferred for projects with high levels of uncertainty. The dynamic nature of Adaptive methodologies facilitates continuous learning while encouraging adaptation of the emergent state of the project.
Extreme Programming is one of the agile software development methodologies. XP focus on improving software quality and accommodation of new requirements from the customer. In building products, XP takes an incremental approach, with a continuous cycle of testing and revising (Kniberg, 2015). The main goals of the methodology are to produce high quality software and improve the quality of life of developers. Extreme Programming is best suited for projects where requirements are likely to change over the period of the project’s life (Rumpe & Schröder, 2014). The methodology encourages responsiveness towards the changing customer requirements. A vital feature required for the FFSL case since some requirements are bound to change to accommodate the views of the sales persons. XP emphasizes on teamwork and singleness of purpose among the developers, customers and managers; everyone becomes part of the team, and focuses on contributing positively towards the delivery of quality software.
Extreme programming improves the development process of software projects by; encouraging developers to be accommodative to changing requirements, encourages feedback, simplicity and improved communication (Kniberg, 2015).
FDD is an incremental and iterative approach to the development of software. FDD combines several software development best practices to form a unified whole. The model is driven and centered on a client’s most value features of a system (Firdaus, Ghani, & Jeong, 2014). The main objective of this model is to deliver quality within the specified timeline. Feature-Driven Development is therefore a pragmatic, architecture-centric and client-centric approach (Firdaus, Ghani, & Jeong, 2014). The key processes that define an FDD project include;
Scrum is another agile software development methodology, designed for small projects. The general flow of a Scrum project is as follows;
From the analysis of the case study, it is clear that the requirements of the case study may change as the management and the sales persons come into agreement regarding some aspects of the system. The case is therefore a perfect candidate for an Adaptive/Agile software development approach. Although all the three methodologies discussed can be used for this case, Scrum Methodology would be the most appropriate for the scenario. With Scrum, the list of the most important features of the system would be implemented piece by piece, enabling refinement and improvements to be made to the system.
References
Asghar, A. R., Bhatti, S. N., Tabassum, A., Sultan, Z., & Abbas, R. (2016). Role of Requirements Elicitation & Prioritization to Optimize Quality in Scrum Agile Development. work, 7(12).
Beck, K., et. Al. (2013). Manifesto for agile software development. Agilemanifesto. org.
Firdaus, A., Ghani, I., & Jeong, S. R. (2014). Secure feature driven development (SFDD) model for secure software development. Procedia-Social and Behavioral Sciences, 129, 546- 553
Kniberg, H. (2015). Scrum and XP from the Trenches. Lulu. com..
Moran, A. (2015). Agile project management. In Managing Agile(pp. 71-101). Springer International Publishing.
Rumpe, B., & Schröder, A. (2014). Quantitative survey on extreme programming projects. arXiv preprint arXiv:1409.6599.
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