When developing information systems, data modeling represents a key aspect of the requirements analysis phase. The criticality of the data model stems from the fact that the characteristics of the data govern all other aspects of an information system.
The Hofmeister, Nord, and Soni article provides a useful overview of the Global Analysis methodology. Software architects seeking to improve the traceability of the software development lifecycle would be advised to read Hofmeister et al and implement Global Analysis as an architectural tool.
The systems development lifecycle (SDLC) is a broad term that encompasses the methods that an organization uses to design, deploy, and maintain the systems that fulfill the information technology (IT) and business strategies. Hoffer, George, and Valacich (2010) define the systems development lifecycle as, “the traditional methodology used to develop, maintain, and replace information systems” (Hoffer, George, and Valcich, 2010, p. 7). One of the key phases of the SDLC is systems analysis and design, which focuses on gathering and analysis of requirements and design of information systems to meet those requirements.
Management of the information technology (IT) applications portfolio is an important undertaking for businesses that seek to optimize the IT investment. As Ward and Peppard (2002) state, “The applications portfolio concept, […] is a means of bringing together existing, planned and potential information systems and assessing their business contribution” (Ward & Peppard, 2002). Managing the [...]
Agile development methodologies like Scrum offer many benefits over traditional project management techniques for modern software development. Traditional project management is often inadequate to adapt to changing requirements and priorities of today’s software projects. A common result is failed projects, finger pointing, and unsustainable work hours for developers. Agile methods provide collaboration and flexibility features that enable greater project success.
Forecasting the end of a tool’s utility is valuable, as accurate predictions enable timely migration to a new toolset. The field of available software development tools is very dynamic. Development tools encompass a variety of components used to build and deploy software, including programming languages and compilers, revision control and software configuration management, defect tracking, & integrated development environments.
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