Application Lifecycle Management (ALM) will be the management of the software application lifecycle from initial development to final release. ALM encompasses all the practices, processes and tools that aid in managing an application’s lifecycle from both a enterprise and development perspective. Key capabilities of an ALM platform include the capability to handle change management, workflow, source code management, job management, testing and bug tracking, lab management, reporting and analytics. An ALM platform ought to also include a central repository for managing all the different sorts of content produced (i.e. code, tasks, roles, requirements, along with other artifacts) at the same time as a program for establishing traceability and accountability across the ALM platform’s a lot of processes, locations, and tool sorts.
Given the complexity and also the magnitude of time and resources a company invests in software development, managing risk becomes extremely crucial. All software development contains inherent risk, since software development is not grounded in mathematical or physical certainty, but rather based on innovation, discovery, and artistry. In contrast to a manufacturing program where processes could be automated, the software development procedure cannot be translated into a one-size-fits-all, cookie cutter answer. It really is impossible to predict any and all the variables that could possibly impact a software project at the outset.
Inside the past, development teams have relied mainly on the “waterfall” approach to manage the ALM. Nevertheless, a lot like the manufacturing assembly line, the waterfall technique is a “linear” approach where the product requirements are gathered upfront along with the development procedure follows a predefined sequence of events from coding to testing to QA and then release. The risk in following this type of approach is that it increases the risk of project failure. By the time the final product is released it might no longer be relevant to the market for which it was created.
So that you can reduce the risk of project failure, software development teams, are continuously searching for approaches to increase both the process and technology of software development. No software method is so straightforward that the whole development may be entirely scripted from beginning to end in a linear fashion, which is why we are seeing a shift in the marketplace to “Agile ALM”. Basically stated, both the ALM and Agile communities are focused on improving the current state of software development. While ALM approaches the challenge from a technologies point of view, Agile is focused on improving the “process”. Due to the fact of the frequent goals and synergies of ALM and Agile, we expect to appear multiple Agile ALM vendors within the marketplace inside the next 1-3 years.
Unlike the “linear” waterfall approach, Agile teams use an “iterative” or “inspect and adapt” approach to ALM to address the changing requirements, complexities and risk factors that can arise over the course of the software project. Scrum, one of the most common implementation of the Agile movement, has seen exponential growth in the past few years for both little and big scale development projects, and is now rapidly expanding its footprint within the enterprise. Scrum’s success, for the most part, is because of its focus on enabling “high feature value” creation, as well as, efficient collaboration amongst self-organizing teams. Teams using Scrum see Scrum as a benefit simply because they realize organization ROI sooner, reduce project rework, and accelerate product innovation.