Life Cycles Information
Life Cycles, Standards, and Best Practices
The Systems development life cycle (SDLC), or Software development process in systems engineering, information systems and software engineering, is a process of creating or altering information systems, and the models and methodologies that people use to develop these systems. In software engineering, the SDLC concept underpins many kinds of software development methodologies.
With that said application systems could be acquired or developed through various modes, which include: custom development using internal resources and or custom development using fully or partly outsourced resources located onsite or offsite locally or in an offshore location. There are many issues to consider when deciding whether to purchase a product or develop a custom system. At the outset of any software development initiative it is important to define how the project will be managed. Planning is the key to a software development process that is reliable and repeatable. As various industry standards indicate, it is the execution of a formal requirements process within the context of a lifecycle methodology that separates successful software development initiatives from unreliable seat-of-the-pants efforts.
Proprietary software or closed source software in terms of Systems development life cycle is computer software licensed under exclusive legal right of the copyright holder. The licensee is given the right to use the software under certain conditions, while restricted from other uses, such as modification, further distribution, or reverse engineering. While the Systems development life cycle for custom applications are broken down into phases. Such as: * Planning. It is the process of understanding why the system should be built and defining its requirements. It also includes feasibility study from several different perspectives, technical, economic, and organization feasibility aspects. * Analysis. This phase includes activities
The Systems development life cycle (SDLC), or Software development process in systems engineering, information systems and software engineering, is a process of creating or altering information systems, and the models and methodologies that people use to develop these systems. In software engineering, the SDLC concept underpins many kinds of software development methodologies.
With that said application systems could be acquired or developed through various modes, which include: custom development using internal resources and or custom development using fully or partly outsourced resources located onsite or offsite locally or in an offshore location. There are many issues to consider when deciding whether to purchase a product or develop a custom system. At the outset of any software development initiative it is important to define how the project will be managed. Planning is the key to a software development process that is reliable and repeatable. As various industry standards indicate, it is the execution of a formal requirements process within the context of a lifecycle methodology that separates successful software development initiatives from unreliable seat-of-the-pants efforts.
Proprietary software or closed source software in terms of Systems development life cycle is computer software licensed under exclusive legal right of the copyright holder. The licensee is given the right to use the software under certain conditions, while restricted from other uses, such as modification, further distribution, or reverse engineering. While the Systems development life cycle for custom applications are broken down into phases. Such as: * Planning. It is the process of understanding why the system should be built and defining its requirements. It also includes feasibility study from several different perspectives, technical, economic, and organization feasibility aspects. * Analysis. This phase includes activities
References: Thompson, T., & Brailer, D. (2004) IT strategic framework. DHHS, Washington DC. U.S. Department of Health and Human Services. Health Information Technology Initiative. Wager, K. A., Lee, F. W., & Glaser, J. P. (2009). Healthcare information systems: A practical approach for health care management (2nd ed.) Healthcare Information and Management Systems Society. (2009). Management engineering-process improvement Hoffmann, Leah. (2009). Implementing electronic medical records. Communications of the ACM, 52(11), 18-20. Venkatraman, S., Bala, H., Venkatesh, V., & Bates, J. (2008). Six Strategies for Electronic Medical Records Systems